La révision des comptes de productivité multifactorielle
Bibliographic record
Abstract
Le present rapport decrit les revisions apportees a la mesure de la croissance de la productivite multifactorielle (PMF) et aux variables connexes dans le secteur des entreprises et pour differentes industries. Ces revisions ont decoule de la revision historique du Systeme de comptabilite nationale du Canada (SCNC) diffusee le 1 er octobre 2012, des revisions apportees aux comptes de la productivite du travail du 12 octobre 2012, ainsi que des modifications apportees a l?estimation de l?entree de capital en vue d?accroitre son uniformite dans les estimations de la croissance de la PMF par industrie. Le Programme de la productivite multifactorielle produit des indices de la PMF et des mesures connexes (production, entree de capital, entree de travail et entrees intermediaires) pour le secteur des entreprises, les differents sous secteurs economiques et les industries qui les composent. Le Programme de la PMF ventile la croissance de la productivite du travail en fonction de ses principaux determinants : l?intensite du capital (variations du capital par heure travaillee), l?investissement dans le capital humain et la PMF, qui englobe le changement technologique, l?innovation organisationnelle et les economies d?echelle.
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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 | 0.067 | 0.188 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| Bibliometrics | 0.011 | 0.014 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".