A General Equilibrium Analysis of the Evolution of Canadian Service Productivity
Bibliographic record
Abstract
Dans cet article, nous mesurons les productivités factorielles (et dès lors la croissance de la productivité totale des facteurs) à partir des principes essentiels d'une économie (les ressources, les préférences et la technologie) sans avoir recours aux prix du marché. Les productivités factorielles sont les multiplicateurs de Lagrange d'un programme linéaire qui maximise la demande finale domestique sous les contraintes sectorielles, les contraintes de ressources et la contrainte de la balance commerciale. Nous appliquons le modèle aux données de l'économie canadienne de 1962 à 1991. Les données ne concordent pas avec l'hypothèse traditionnelle selon laquelle les services ralentissent la croissance de la productivité.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".