Data · dataset · 2018
A longitudinal study into the acquisition of classifier predicates in fourteen SL2-learners of NGT (dataset)
Listed in DANS Data Station Social Sciences and Humanities
This dataset consists of an Excel document which presents a visual representation of the data collected in the study into the acquisition of classifier predicates in second language learners of NGT.
Description
This study is one of the four studies carried out by Eveline Boers-Visker in the context of her doctoral research entitled ‘Learning to use space: a study into the SL2 acquisition process of adult learners of Sign Language of the Netherlands’ (2016-2020).
In this particular study, fourteen NGT-learners were followed over the course of two years. The participants performed a total of fifteen tests (twelve in year 1, three in year 2), designed to elicit two-handed classifier constructions by means of prompts consisting of photos and short video clips. In two separate documents (one in English, one in Dutch) an explanation to the Excel document is provided.
Links
Where it is published
- Dataverse dataset page ssh.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-ZMA-XMCH ↗
landing page · from ssh datastations nl
- DOI doi.org/10.17026/dans-zma-xmch ↗
DOI / persistent id · from ssh datastations nl
Catalogue records · 1
- Dataverse API ssh.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from ssh datastations nl
Topics
- Stated by source
- Arts and Humanities
- From keywords
- Humanities · Social Science
- Inferred from text
- Linguistics 75% · Longitudinal study 75% · Video 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Social Sciences and Humanities | doi:10.17026/DANS-ZMA-XMCH | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4704 | enrichment · ssh datastations nl | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].dataverse_subject:arts-and-humanities | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[method].local:method:longitudinal-study | enrichment · ssh datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · ssh datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| description | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /description |
| publication_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| title | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /name |
| updated_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| version_label | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 |