Comptes économiques provinciaux et territoriaux, 2011 [Canada][HTML]
Bibliographic record
Abstract
Le programme des Comptes provinciaux et territoriaux du produit intérieur brut en termes de revenus et de dépenses produit des estimations annuelles de certains agrégats des Comptes des revenus et dépenses (CRD) par province et territoire : produit intérieur brut, demande intérieure finale, revenu personnel et comptes du secteur des administrations publiques. Les données sont utilisées dans le domaine de l'analyse macro-économique et de la prévision, dans le domaine de l'analyse des politiques et aux fins de l'établissement de modèles économétriques et de tests d'hypothèses par des fonctionnaires fédéraux et provinciaux, par des gens d'affaires, des universitaires, des économistes et des organismes internationaux. Pour les données actuelles des Comptes provinciaux et territoriaux reportez-vous à Statistique Canada
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.022 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.074 | 0.014 |
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".