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Concept Group is used to define the meaning of information to provide an understanding of what the data are measuring.
The UML diagram for this group, as well as definitions and explanatory text can be found below.
For the comparison with the previous version of GSIM (v1.2), the main changes to the model include:
Relationship updated: 1) between Data Point and Population (this relationship existed between Dimensional Data Point in v1.2); 2) between Data Point and Unit (this relationship existed between Unit Data Point in v1.2); 3) "has measure/attribute/identifier" relationship between Data Point and Instance Variable replaced with "populates"
Composition relationship added from Instance Variable to Data Set
Category
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Category | Concept | Concept whose role is to extensionally define and measure a characteristic | Categories for the Concept of sex include: Male, Female Note: An extensional definition is a description of a Concept by enumerating all of its subordinate Concepts under one criterion or sub-division. For example - the Noble Gases (in the periodic table) are extensionally defined by the set of elements including Helium, Neon, Argon, Krypton, Xenon, Radon. (ISO 1087-1) | class |
Attributes*
* Attributes inherited from super-type(s) are not included here
Category Item
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Category Item | Concept | type of Node exclusive to a Category Set that contains a single Category | A Category Item contains the meaning of a Category without any associated representation. (For example: "Male") |
Attributes*
* Attributes inherited from super-type(s) are not included here
Category Set
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Category Set | Concept | type of Node Set for grouping Categories via Category Items | The Categories in a Category Set typically have no assigned Designations (Codes). For example: Male, Female |
Attributes*
* Attributes inherited from super-type(s) are not included here
Classification Family
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Classification Family | Concept | group of Classification Series based on a common Concept (e.g. economic activity) | Different classification databases may use different types of Classification Families and have different names for the families, as no standard has been agreed upon. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Classification Index
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Classification Index | Concept | ordered list (e.g. alphabetical, in code order) of Classification Index Entries | A Classification Index shows the relationship between text found in statistical data sources (responses to survey questionnaires, administrative records) and one or more Statistical Classifications. A Classification Index may be used to assign the codes for Classification Items to observations in acquisitions of statistical data. A Statistical Classification is a subtype of Node Set. The relationship between Statistical Classification and Classification Index can also be extended to include the other Node Set types - Code List and Category Set. |
Attributes*
Name | Description | Cardinality | Value Type |
Coding Instructions | Additional information which drives the coding process for all entries in a Classification Index. | 0..* | String |
Corrections | Summary description of corrections, which have occurred within the Classification Index. Corrections include changing the item code associated with a Classification Index Entry. | 0..1 | String |
Languages Available | A Classification Index can exist in several languages. Indicates the languages available. If a Classification Index exists in several languages, the number of entries in each language may be different, as the number of terms describing the same phenomenon can change from one language to another. However, the same phenomena should be described in each language. | 0..* | String |
* Attributes inherited from super-type(s) are not included here
Classification Index Entry
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Classification Index Entry | Concept | word or a short text (e.g. the name of a locality, an economic activity or an occupational title) describing a type of object/unit or object property to which a Classification Item applies, together with the code of the corresponding Classification Item | A Classification Item is a subtype of Node. The relationship between Classification Item and Classification Index Entry can also be extended to include the other Node types - Code Item and Category Item. Each Classification Index Entry typically refers to one item of the Statistical Classification. Although a Classification Index Entry may be associated with a Classification Item at any Level of a Statistical Classification, Classification Index Entries are normally associated with items at the lowest Level. |
Attributes*
Name | Description | Cardinality | Value Type |
Coding Instructions | Additional information which drives the coding process. Required when coding is dependent upon one or many other factors. | 0..* | String |
Text | Text describing the type of object/unit or object property. | 1..* | String |
* Attributes inherited from super-type(s) are not included here
Classification Item
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Classification Item | Concept | type of Node exclusive to a Statistical Classification that combines a Category at a certain Level with a Code that represents it. | A Classification Item defines the content and borders of the associated Category. A Unit can be classified to one and only one item at each Level of a Statistical Classification. Categories are used to create sub-populations and must be mutually exclusive when contained into a Statistical Classification. |
Attributes*
Name | Description | Cardinality | Value Type |
Case Laws | Refers to identifiers of one or more case law rulings related to the Classification Item. | 0..* | MultilingualText |
Case Law Descriptions | Refers to descriptions of the case laws. | 0..* | MultilingualText |
Case Law Dates | Refers to date of case laws. | 0..* | Date |
Generated | Indicates whether or not the item has been generated to make the level to which it belongs complete. | 0..1 | Boolean |
Linked Items | Items of other classification versions or variants with which the item is linked, either as source or target, through Correspondence Tables. | 0..* | String |
* Attributes inherited from super-type(s) are not included here
Classification Series
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Classification Series | Concept | ensemble of one or more Statistical Classifications, based on the same concept, and related to each other as versions or updates | Typically, these Statistical Classifications have the same name (e.g., ISIC or ISCO). |
Attributes*
Name | Description | Cardinality | Value Type |
Context | Classification Series can be designed in a specific context. | 0..1 | String |
Keywords | A Classification Series can be associated with one or a number of keywords. | 0..* | String |
Objects/Units Classified | A Classification Series is designed to classify a specific type of object/unit according to a specific attribute. | 1..1 | String |
Subject Areas | Areas of statistics in which the Classification Series is implemented. | 1..1 | String |
* Attributes inherited from super-type(s) are not included here
Code
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Code | Concept | Designation for a Category | Codes are unique within their Code List. Example: M (Male) F (Female). |
Attributes*
* Attributes inherited from super-type(s) are not included here
Code Item
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Code Item | Concept | type of Node exclusive to a Code List that combines a Category with a Code that represents it | A Code Item combines the meaning of the included Category with a Code representation. Codes are unique within their Code List. Example: M (Male) F (Female). |
Attributes*
* Attributes inherited from super-type(s) are not included here
Code List
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Code List | Concept | type of Node Set for grouping pairs of Categories and their Codes via Code Items | Similar Code Lists can be grouped together (via the "relates to" relationship inherited from Node Set). A Code List provides a predefined set of permissible values for an Enumerated Value Domain |
Attributes*
* Attributes inherited from super-type(s) are not included here
Concept
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Concept | Concept | unit of thought differentiated by characteristics |
Attributes*
Name | Description | Cardinality | Value Type |
Definition | Representation of a Concept by a descriptive statement which serves to differentiate it from related Concepts. | 1..* | MultilingualText |
* Attributes inherited from super-type(s) are not included here
Concept System
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Concept System | Concept | set of Concepts structured by the relations among them | Here are 2 examples 1) Concept of Sex: Male, Female, Other 2) ISIC (the list is too long to write down) |
Attributes*
* Attributes inherited from super-type(s) are not included here
Conceptual Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Conceptual Domain | Concept | set of valid Concepts | The Concepts can be described by either enumeration or by an expression. |
Attributes*
Name | Description | Cardinality | Value Type |
Sentinel | If true, the domain is sentinel (i.e. values used to represent a state in the processing life-cycle e.g. missing data), otherwise the domain is substantive (i.e. values used to represent an observation of some Unit of interest). | 1..1 | Boolean |
* Attributes inherited from super-type(s) are not included here
Correspondence Table
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Correspondence Table | Concept | set of Maps between the Classification Items of two Statistical Classifications | These are typically: two versions from the same Classification Series; Statistical Classifications from different Classification Series; a variant and the version on which it is based; or, different versions of a variant. In the first and last examples, the Correspondence Table facilitates comparability over time. Correspondence relationships are shown in both directions. A Statistical Classification is a subtype of Node Set. The relationship between Statistical Classification and Correspondence Table can also be extended to include the other Node Sets - Code List and Category Set. |
Attributes*
Name | Description | Cardinality | Value Type |
Floating | If the source and/or target Statistical Classifications of a correspondence table are floating classifications, the date of the correspondence table must be noted. The correspondence table expresses the relationships between the two Statistical Classifications as they existed on the date specified in the table. | 0..1 | String |
Relationship Type | A correspondence can define a 1:1, 1:N, N:1 or M:N relationship between source and target items. | 0..1 | String |
Source Level | The correspondence is normally restricted to a certain Level in the source Statistical Classification. In this case, target items are assigned only to source items on the given level. If no level is indicated, target items can be assigned to any level of the source Statistical Classification. | 0..1 | String |
Target Level | The correspondence is normally restricted to a certain Level in the target Statistical Classification. In this case, source items are assigned only to target items on the given level. If no level is indicated, source items can be assigned to any level of the target Statistical Classification. | 0..* | String |
* Attributes inherited from super-type(s) are not included here
Datum
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Datum | Concept | value | A Datum is the actual instance of data that was acquired or derived. It is the value which populates a Data Point. A Datum is the value found in a cell of a table. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Described Conceptual Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Described Conceptual Domain | Concept | Conceptual Domain defined by an expression | For example: all real numbers between 0 and 1. Described Conceptual Domain is a synonym for non-enumerated conceptual domain (source: GSIM) | Non-enumerated conceptual domain |
Attributes*
* Attributes inherited from super-type(s) are not included here
Described Value Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Described Value Domain | Concept | Value Domain defined by an expression | For example: all real decimal numbers between 0 and 1. Described Value Domain is a synonym for non-enumerated value domain (source: GSIM) |
Attributes*
Name | Description | Cardinality | Value Type |
Data Type |
| 1..1 | String |
* Attributes inherited from super-type(s) are not included here
Designation
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Designation | Concept | association of a Concept with a sign that denotes it | Designation is the name given to an object for identification. . |
Attributes*
* Attributes inherited from super-type(s) are not included here
Enumerated Conceptual Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Enumerated Conceptual Domain | Concept | Conceptual Domain expressed as a list of Categories | For example, the Sex Categories: 'Male' and 'Female' |
Attributes*
* Attributes inherited from super-type(s) are not included here
Enumerated Value Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Enumerated Value Domain | Concept | Value Domain expressed as a list of Categories and associated Codes | Example - Sex Codes <m, male>; <f, female>; <o, other>. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Instance Variable
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Instance Variable | Concept | use of a Represented Variable within a Data Set | The Instance Variable is used to describe actual instances of data that have been acquired. Here are 3 examples: It may include information about the source of the data. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Level
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Level | Concept | set of Nodes in a hierarchical Node Set in which 1) each Node in the set is the same number of parent-child steps away from the root Node in the hierarchy, and 2) the set is defined by a unifying Concept |
Attributes*
Name | Description | Cardinality | Value Type |
Code Structure | Indicates how the code is constructed of numbers, letters and separators. | 0..1 | String |
Code Type | Indicates whether the item code at the Level is alphabetical, numerical or alphanumerical. | 0..1 | ControlledVocabulary |
Dummy Code | Rule for the construction of dummy codes from the codes of the next higher level (used when one or several categories are the same in two consecutive levels). | 0..1 | String |
Items | An ordered list of the Categories (Classification Items) that constitute the Level. | 1..* | MultilingualText |
Level Number | The number associated with the Level. Levels are numbered consecutively starting with level 1 at the highest (most aggregated) Level. | 0..1 | Number |
* Attributes inherited from super-type(s) are not included here
Map
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Map | Concept | expression of the relation between a Classification Item in a source Statistical Classification and a corresponding Classification Item in the target Statistical Classification | The Map should specify whether the relationship between the two Classification Items is partial or complete. Depending on the relationship type of the Correspondence Table, there may be several Maps for a single source or target item. The use of Correspondence Tables and Maps can be extended to include all types of Node and Node Set. This means that a Correspondence Table could map between the items of Statistical Classifications, Code Lists or Category Sets. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Measurement Type
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Measurement Type | Concept | The Measurement Type defines the type of a measure e.g. mass or currency. | The Measurement Type groups all Measurement Units, which can be converted into each other. A Measurement Type can have a standard Measurement Unit, which can be used for conversion between different Measurement Units. There need not be any standard Measurement Unit for a given Measurement Type e.g. currency. Each Measurement Type has as a standard at most one Measurement Unit. | dimensionality (See ISO/IEC 11179-1 Ed 3, section 3.3.15, for a good explanation of dimensionality.) |
Attributes*
* Attributes inherited from super-type(s) are not included here
Measurement Unit
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Measurement Unit | Concepts | metric for a measurement in terms of an official unit of measurement | Measurement Units is s a definite magnitude of a quantity, defined and adopted by convention or by law, that is used as a standard for measurement of the same kind of quantity. They can be based on different Measurement Types such as weight, height, currency, duration etc. Measurement Units can be transformed into one another (e.g. kilometres into metres) if they refer to the same Measurement Type (e.g. length). The conversion rule attribute can be used to include a multiplicative factor e.g. the non-standard Measurement Unit ‘1000 kg’ = 1000 x the standard Measurement Unit ‘kg’. |
Attributes*
Name | Description | Cardinality | Value Type |
Abbreviation | Abbreviation for the Measurement Unit e.g. kg for kilograms | 0…* | String |
Conversion Rule | Rule for conversion to the standard Measurement Unit, if this exists. | 0…1 | String |
* Attributes inherited from super-type(s) are not included here
Node
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Node | Concepts | combination of a Category and related attributes | A Node is created as a Category, Code or Classification Item for the purpose of defining the situation in which the Category is being used. |
Attributes*
Name | Description | Cardinality | Value Type |
Aggregation Type | To define the parent/child relationship between Nodes, it tells us whether we are applying the part whole relationship, or the super/sub type relationships. | 0..1 | String |
* Attributes inherited from super-type(s) are not included here
Node Set
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Node Set | Concept | set of Nodes | Node Set is a kind of Concept System. Here are 2 examples:
2) Sex Codes
|
Attributes*
* Attributes inherited from super-type(s) are not included here
Population
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Measurement Unit | Concepts | total membership of a defined class of people, objects or events | A Population is used to describe the total membership of a group of people, objects or events based on characteristics, e.g. time and geographic boundaries. Here are 3 examples:
|
Attributes*
Name | Description | Cardinality | Value Type |
Geography | The geographical area to which the population is associated. | 0..1 | String |
Reference Period | The time period to which the population is associated. | 0..1 | Date |
* Attributes inherited from super-type(s) are not included here
Represented Variable
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Represented Variable | Concepts | combination of a characteristic of a population to be measured and how that measure will be represented | The measure applies to quantitative, categorical, and descriptive Conceptual Variable. Examples: The Represented Variable "Sex of Person [1,2,3]", has the Conceptual Variable (Sex of Person) and the representation (1=Male, 2=Female, 3=Other). |
Attributes*
* Attributes inherited from super-type(s) are not included here
Sentinel Value Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Sentinel Value Domain | Concepts | Value Domain containing sentinel values, i.e. processing-related special values | A sentinel value is one used for processing and with no subject matter content, such as missing or refused. Sentinel Value Domains can be enumerated (listed) or described. A Value Domain expressed as a list of Categories for sentinel values or a description thereof. The scope and the meaning of the possible values are defined within the frame of the Conceptual Domain that the Sentinel Value Domain is associated with. Separating the sentinel values from the substantive ones allows a large reduction in the number of Value Domains, and thus Represented Variables and Instance Variables, that need to be maintained. Use of generic codes is recommended for Concepts which appear in many, if not, all Code Lists, e.g. <S_X, Unspecified>, <S_Z, Not applicable>, < S_R, Refusal>, <S_U, Unknown> |
Attributes*
* Attributes inherited from super-type(s) are not included here
Statistical Classification
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Statistical Classification
| Concept | hierarchically organised set of mutually exclusive and jointly exhaustive Categories that share the same or similar characteristics, used for meaningfully grouping the objects or units in the population of interest | The Categories are defined with reference to one or more characteristics of a particular population of units of observation. A Statistical Classification may have a flat, linear structure or may be hierarchically structured, such that all Categories at lower Levels are sub-Categories of Categories at the next Level up. Categories in Statistical Classifications are represented in the information model as Classification Items. |
Attributes*
Name | Description | Cardinality | Value Type |
Changes from Base Statistical Classification | Describes the relationship between the variant and its base Statistical Classification, including regroupings, aggregations added and extensions. | 0..1 | MultilingualText |
Changes from Previous Version or Update | A summary description of the nature and content of changes from the preceding version or update. Specific changes are recorded in the Classification Item object under the “Changes from previous version and updates” attribute. | 0..1 | MultilingualText |
Copyright | Statistical Classifications may have restricted copyrights. Such Statistical Classifications might be excluded from downloading. Notes the copyright statement that should be displayed in official publications to indicate the copyright owner. | 0..* | String |
Current | Indicates whether or not the Statistical Classification is currently valid. | 0..1 | Boolean |
Derived From | A Statistical Classification can be derived from one of the classification versions of another Classification Series. The derived Statistical Classification can either inherit the structure of the classification version from which it is derived, usually adding more detail, or use a large part of its Classification Items, rearranging them in a different structure. Indicates the classification version from which the actual Statistical Classification is derived. | 0..1 | String |
Floating | Indicates if the Statistical Classification is a floating classification. In a floating statistical classification, a validity period should be defined for all Classification Items which will allow the display of the item structure and content at different points of time. | 0..1 | Boolean |
Introduction | The introduction provides a detailed description of the Statistical Classification, the background for its creation or variant, the classification variable and objects/units classified, classification rules etc. | 0..1 | MultilingualText |
Languages Available | A Statistical Classification can exist in one or several languages. Indicates the languages available, whether the version is completely or partially translated, and which part is available in which language. | 0..* | String |
Legal Base | Indicates that the Statistical Classification is covered by a legal act or by some other formal agreement. | 0..* | MultilingualText |
Name Types | A list of the defined types of alternative item names available for the Statistical Classification. Each name type refers to a list of alternative item names. | 0..* | ControlledVocabulary |
Predecessor | For those Statistical Classifications that are versions or updates, notes the preceding Statistical Classification of which the actual Statistical Classification is the successor. | 0..1 | String |
Successor | Notes the Statistical Classification that superceded the actual Statistical Classification. | 0..1 | String |
Update | Indicates if the Statistical Classification is an update. | 0..1 | Boolean |
Updates Possible | Indicates whether or not updates are allowed within the classification version i.e. without leading to a new version. Indicate here what structural changes, if any, are permissable within a version. Note whether Classification Items can be added to the structure and whether they can be revalidated or invalidated. Such changes are more likely to be permissable in floating classifications. Also indicate whether changes to such things as Classification Item names and explanatory notes that do not involve structural changes are permissible within a version. | 0..1 | Boolean |
* Attributes inherited from super-type(s) are not included here
Subject Field
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Subject Field | Concept | field of knowledge under which a set of Concepts and their Designations is used | For example, labour market, environmental expenditure, tourism, etc. | subject area, theme |
Attributes*
* Attributes inherited from super-type(s) are not included here
Substantive Value Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Substantive Value Domain | Concept | Value Domain containing substantive values, where a substantive value is subject matter related | A substantive value is one representing subject matter content, such as <f, female> in a gender classification. The scope and the meaning of the possible values are defined within the frame of the Conceptual Domain that the Substantive Value Domain is associated with. Example: <0, Pre-primary>, <1, Primary>, <2, Lower secondary>, < 3, Upper secondary>, <4, Post-secondary non-tertiary>, <5, First stage of tertiary education>, <6, Second stage of tertiary education> where the scope and meaning of the values are defined within Categories for levels of education. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Unit
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Unit | Concept | entity for which information is sought and for which statistics are ultimately compiled | Here are 3 examples:
|
Attributes*
* Attributes inherited from super-type(s) are not included here
Unit Type
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Unit Type | Concept | class or group of Units based on a single characteristic | A Unit Type is used to describe a class or group of Units based on a single characteristic, but with no specification of time and geography. For example, the Unit Type of “Person” groups together a set of Units based on the characteristic that they are ‘Persons’. It concerns not only Unit Types used in dissemination, but anywhere in the statistical process. E.g. using administrative data might involve the use of a fiscal unit. | Object class (ISO 11179) |
Attributes*
* Attributes inherited from super-type(s) are not included here
Universe
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Universe | Concept | specialized Unit Type, but not by time or geography | The description statement of a Universe is generally stated in inclusive terms such as “All persons with a university degree”. Occasionally a Universe is defined by what it excludes, i.e., “All persons except those with a university degree”. In both cases, adding the condition of the university degree specializes persons, which is a Unit Type. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Value Domain
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Value Domain | Concept | set of permissible values for a Conceptual Variable | The values can be described by enumeration or by an expression. |
Attributes*
* Attributes inherited from super-type(s) are not included here
Conceptual Variable
Definition
Class | Group | Definition | Explanatory Text | Synonyms |
---|---|---|---|---|
Conceptual Variable | Concept | use of a Concept as a characteristic of Unit Type intended to be observed | The Conceptual Variable combines the meaning of a Concept with a Unit Type, to define the characteristic that is to be measured. Here are 3 examples:
|
Attributes*
* Attributes inherited from super-type(s) are not included here
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