Bibliographic record
Abstract
Abstract In 1973 a small group of scholars from the Catalan Countries joined to form the Catalan Group of Sociolinguistics (GCS). Their mission was to promote the planning of the Catalan language and sociolinguistic studies in this area. Their first public appearance was at the 8th Congress of Sociology (Toronto, 1974), where, thanks to L.V. Aracil – one of the promoters of GCS –, a session on the Catalan language was organised, the material from which was published in 1977 in the first issue of the annual review Treballs de Sociolingüística Catalana. In 1981, GCS had eighteen associates and by 2005, the group’s expansion led to its becoming the Association of Catalan Language Sociolinguists (ASOLC). Shortly after it became a subsidiary of the Institute of Catalan Studies (IEC) and in 2008 it adopted the name Catalan Society of Sociolinguistics (SOCS). Over the years this association has not only been dedicated to promoting and disseminating sociolinguistic research, but it has also been involved in numerous planning initiatives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".