Les facteurs d’évolution de la connaissance du catalan en Catalogne espagnole
Bibliographic record
Abstract
Ce texte présente une étude de l'évolution de la connaissance du catalan en Catalogne. Nous utilisons les données des quatre derniers recensements pour suivre l'évolution du phénomène (1975-1991). Après avoir présenté succinctement le cadre social, politique et juridique de la langue catalane en Catalogne, nous abordons la question de la nature des données utilisées et l'évolution globale de la connaissance linguistique dans la population. Puis nous examinons les facteurs qui ont contribué a l'évolution observée par une analyse plus détaillée des données. Nous parlons tout d'abord du rôle de l'éducation primaire et secondaire, puis nous abordons le thème de l'intégration linguistique des immigrants, groupe qui constitue encore la moitié de la population adulte de la communauté autonome catalane. Notre conclusion est optimiste quant aux tendances de l'évolutionrécente.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".