Mesure de la production economique du secteur de l'education dans les comptes nationaux
Bibliographic record
Abstract
Dans le present document, on construit deux mesures experimentales de la production economique du secteur de l'education au Canada : une mesure fondee sur le revenu et une autre fondee sur les couts. Les mesures different de la mesure utilisee actuellement dans les comptes nationaux, qui est basee sur le volume total des entrees, et peuvent etre utilisees pour examiner le rendement en matiere de productivite du secteur de l'education. Les deux approches reposent sur la notion que la production du secteur de l'education represente un investissement en capital humain. L'approche fondee sur le revenu mesure l'investissement dans l'education comme les echelons d'augmentation dans le flux a venir de revenus decoulant du niveau de scolarite. L'approche fondee sur les couts mesure l'investissement comme les depenses totales liees a l'education.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".