cldf

StructureDataset GramAdapt Crosslinguistic Social Contact Dataset

CLDF Metadata: StructureDataset-metadata.json

Sources: sources.bib

The GramAdapt Crosslinguistic Social Contact Dataset is a pioneering dataset with social, cultural, and demographic data about contact scenarios from across the globe. The data mostly concern interactions between a Focus language community and it's Neighbour language community, with 34 contact pairs represented. The data are qualitative with quantitative potential, where language community experts have provided best-assessment answers to questions about social contact in their communities of expertise.

property	value
dc:bibliographicCitation	Eri Kashima, Francesca Di Garbo, Oona Raatikainen, Rosnátaly Avelino, Sacha Beck, Anna Berge, Ana Blanco, Ross Bowden, Nicolás Brid, Joseph M Brincat, María Belén Carpio, Alexander Cobbinah, Paola Cúneo, Anne-Maria Fehn, Saloumeh Gholami, Arun Ghosh, Hannah Gibson, Elizabeth Hall, Katja Hannß, Hannah Haynie, Jerry Jacka, Matias Jenny, Richard Kowalik, Sonal Kulkarni-Joshi, Maarten Mous, Marcela Mendoza, Cristina Messineo, Francesca Moro, Hank Nater, Michelle A Ocasio, Bruno Olsson, Ana María Ospina Bozzi, Agustina Paredes, Admire Phiri, Nicolas Quint, Erika Sandman, Dineke Schokkin, Ruth Singer, Ellen Smith-Dennis, Lameen Souag, Yunus Sulistyono, Yvonne Treis, Matthias Urban, Jill Vaughan, Deginet Wotango Doyiso, Georg Ziegelmeyer, Veronika Zikmundová. (2023). GramAdapt Crosslinguistic Social Contact Dataset. (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7508054
dc:conformsTo	CLDF StructureDataset
dc:license	https://creativecommons.org/licenses/by/4.0/
dcat:accessURL	https://github.com/cldf-datasets/gramadapt
prov:wasDerivedFrom	cldf-datasets/gramadapt v1.2 Glottolog v5.3
prov:wasGeneratedBy	python: 3.12.3 python-packages: requirements.txt
rdf:ID	gramadapt
rdf:type	http://www.w3.org/ns/dcat#Distribution

Table values.csv

The ValueTable lists answers to the questions in the GramAdapt questionnaire coded as values for the Focus group language (except for values for the two 'synthetic' parameters 'Focus language' and 'Contact pair', which may also be coded for the language of the Neighbour group).

property	value
dc:conformsTo	CLDF ValueTable
dc:extent	13497

Columns

Name/Property	Datatype	Description
ID	string Regex: [a-zA-Z0-9_\-]+	Primary key
Language_ID	string	References languages.csv::ID
Parameter_ID	string	References parameters.csv::ID
Value	string
Code_ID	string	References codes.csv::ID
Comment	string
Source	list of string (separated by ;)	References sources.bib::BibTeX-key
Contactset_ID	string	Link to the corresponding contact set. References contributions.csv::ID
Respondent	string

Table contributors.csv

property	value
dc:extent	49

Columns

Name/Property	Datatype	Description
ID	string	Primary key
Name	string
Editor	boolean Valid choices: Yes No

Table media.csv

property	value
dc:conformsTo	CLDF MediaTable
dc:extent	90

Columns

Name/Property	Datatype	Description
ID	string Regex: [a-zA-Z0-9_\-]+	Primary key
Name	string
Description	string
Media_Type	string Regex: [^/]+/.+
Download_URL	anyURI
Path_In_Zip	string

Table languages.csv

The GramAdapt dataset is constructed around contact sets, pairs of Focus andNeighbour language communities. This table lists the languages spoken by either of these communities.

property	value
dc:conformsTo	CLDF LanguageTable
dc:extent	68

Columns

Name/Property	Datatype	Description
ID	string Regex: [a-zA-Z0-9_\-]+	Primary key
Name	string
Macroarea	string
Latitude	decimal ≥ -90 ≤ 90
Longitude	decimal ≥ -180 ≤ 180
Glottocode	string Regex: [a-z0-9]{4}[1-9][0-9]{3}
ISO639P3code	string Regex: [a-z]{3}

Table contributions.csv

The GramAdapt dataset provides two types of contributions: (1) 'contact sets', i.e. descriptions of a contact situation between two neighbouring communities speaking different languages. Each contact set is unique in terms of the timeframe they respond for. We urge researchers who use this dataset to read the Comments column for questions CID P1, P2, and P3 carefully for each set, to get a sense of the heterogeneity of timeframes represented in each set, as well as the whole dataset. (2) 'rationales' explaning the goals, definitions and theoretical support for (sets of) questions in the GramAdapt questionnaire.

property	value
dc:conformsTo	CLDF ContributionTable
dc:extent	125

Columns

Name/Property	Datatype	Description
ID	string Regex: [a-zA-Z0-9_\-]+	(1) For contact sets: The unique identifier of a contact pair. The two digit IDs were assigned based on order of completion. Sets that are linked by language communities, but represent different time slices, contain a Roman alphabet symbol, i.e. Set06a and Set06b are for the contact scenario between Maltese and Sicilian, but for different time periods of contact. (2) For rationales the identifier are based on domain and question number. Primary key
Name	string
Description	string	The rationale document formatted as CLDF Markdown.
Contributor	string
Citation	string
Type	string Valid choices: contactset rationale
Focus_Language_ID	string	Link to the language spoken by the focus group in a contact set. References languages.csv::ID
Neighbour_Language_ID	string	Link to the language spoken by the neighbour group in a contact set. References languages.csv::ID
Author_IDs	list of string (separated by )	References contributors.csv::ID
Reviewer_IDs	list of string (separated by )	The GramAdapt team members responsible for checking the responses. References contributors.csv::ID
Area	string	Information about the geographical location of each contact set based on Autotyp areal classification
Document	string	Link to rendered Markdown document. References media.csv::ID
Source	list of string (separated by ;)	References sources.bib::BibTeX-key

Table questions.csv

This table lists the questions of the GramAdapt questionnaire with links to the respective rationale.

property	value
dc:extent	265

Columns

Name/Property	Datatype	Description
ID	string	Primary key
Name	string
Rationale	list of string (separated by )	Link to the rationale for this question. References contributions.csv::ID

Table parameters.csv

Questions in GramAdapt may be broken up into several sub-questions. This table lists the atomic sub-questions.

property	value
dc:conformsTo	CLDF ParameterTable
dc:extent	392

Columns

Name/Property	Datatype	Description
ID	string Regex: [a-zA-Z0-9_\-]+	Primary key
Name	string
Description	string
ColumnSpec	json
datatype	string Regex: Binary-YesNo|Comment|Scalar|Types|TypesSequential|TypesMultiple|Value	Binary-YesNo: A binary answer of either ‘Yes’ or ‘No; Comment: Not preset, just a comment field, i.e. free response. Scalar: A Likert 5 point scale. The response is in textual form, but represents ordinals on a scale of 1-5 (e.g. “Neither positive nor negative” -> 3). Types: A list of preset answers where only one can be chosen (e.g. “FL, NL, Some other language, This is highly contextual”) TypesSequential: A list of ordered, categorical answers where only one can be chosen Types-Multiple: A list of preset answers, where multiple can be chosen Value: A numerical value
Question_ID	string	Links to the corresponding GramAdapt question. References questions.csv::ID
Domain	string Valid choices: OV DEM DFK DKN DLB DLC DTR	Indicating the domain to which the responses apply. Possible options are the overview questionnaire (OV) and social domains (DEM = Exchange and Marriage; DFK = Family and Kin; DKN = Knowledge; DLB = Labour; DLC = Local Community; DTR = Trade).
Tag	string Valid choices: P D S B O I T E OD OG OI OL OS OH OE OC OB OT	Questions of the overview questionnaire may be tagged as OD = Demographics; OG = Language geography; OI = Language and identity; OL = Literacy; OS = Social structure; OH = History; OE = Respondent fieldwork experience; OC = Response confidence; OB = Behaviour affecting biases; OT = Time frame. Questions of the domains questionnaire may be tagged as P = Preamble; D = Domain characterisation; S = Social network; B = Behaviour affecting biases; O = Linguistic output of Focus group people; I = Linguistic input of Focus group people, i.e. the output of Neighbour group people; T = Language transmission to children; E = Ending questions about data source and confidence.
Is_Timeframe_Comment	boolean Valid choices: yes no	Flag signaling whether answers to this question describe a timeframe.
Use_Equivalence	boolean Valid choices: yes no	Questions pertaining to whether language use is equivalent or language contact dynamics between Focus and Neighbour Groups are used in equivalent ways or not. The tag relates to questions of language uses in social domains, and discrepancies in fluency between Focus and Neighbour group people when speaking.
Socio-Political_Power	boolean Valid choices: yes no	Questions on whether there are differences in socio-political power between the Focus and Neighbour groups.
Language_Loyalty	boolean Valid choices: yes no	For the purpose of this dataset language loyalty is defined as a tendency to be loyal to one’s language, typically by expressing a desire to retain an identity that is expressed through the use of that language. This multicausal factor thus significantly overlaps with "Use Equivalence".
Attitudes_and_Ideologies	boolean Valid choices: yes no	Concerns the two groups’ attitudes towards each other in general.

Table codes.csv

property	value
dc:conformsTo	CLDF CodeTable
dc:extent	1524

Columns

Name/Property	Datatype	Description
ID	string Regex: [a-zA-Z0-9_\-]+	Primary key
Parameter_ID	string	The parameter or variable the code belongs to. References parameters.csv::ID
Name	string
Description	string
Ordinal	integer ≥ 1 ≤ 5	Ordinal, representing the value for a Scalar parameter on a 5 point Likert scale.