La valeur des langues dans l'activité professionnelle
Bibliographic record
Abstract
Ce chapitre propose une analyse de la valeur des langues dans l'activité professionnelle en mettant l'accent sur l'estimation des différentiels de revenu du travail qui peuvent être attribués aux compétences linguistiques des individus. Une attention particulière est portée aux études qui évaluent la rentabilité des compétences en français, notamment sur la base de données suisses et canadiennes. L'auteur propose ensuite trois prolongements possibles de la question : (i) les manières alternatives d'aborder la valorisation des compétences linguistiques sur le marché du travail, (ii) la transposition au plan macro-économique de considérations qui relèvent, pour l'essentiel, de l'analyse micro-économique ; (iii) les taux de rendement sociaux, qui proposent une lecture de la rentabilité des compétences sur le plan de la collectivité. Il ouvre ensuite une discussion des différents résultats exposés dans ce chapitre sous l'angle des politiques publiques, notamment des politiques linguistiques.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".