Analyse du niveau de littératie en français au Québec [ressource électronique] : une comparaison entre natifs et immigrants
Bibliographic record
Abstract
La capacite d'utiliser et de comprendre l'information necessaire pour etre fonctionnel en societe est directement liee a la probabilite a occuper un emploi qualifie et remunerateur. Au Canada, des etudes montrent que malgre un niveau de scolarite plus eleve, les immigrants presentent un niveau de litteratie generalement inferieur a celui des non-immigrants. L'objectif de cette recherche est de cerner les facteurs qui determinent le niveau de competence en traitement de l'information textuelle (niveau de litteratie) en francais des quebecois âges de 16 a 65 ans. Pour ce faire, nous analysons les donnees des repondants quebecois au questionnaire francais du Programme pour l'evaluation internationale des competences des adultes (PEICA) de 2012. - Tire du doc.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".