Bibliographic record
Abstract
Le present document a pour objectif de decrire une premiere matrice de comptabilite sociale (MCS) produite pour le Canada. En partant de donnees pour l'annee 2000, les auteurs ont construit une MCS pour l'ensemble de l'economie canadienne. Une MCS etend les comptes nationaux pour permettre une meilleure comprehension du systeme socioeconomique, qui reflete les interdependances des groupes institutionnels. Le present document decrit une MCS de niveau macroeconomique comprenant trois extensions, ou applications, de niveau microeconomique. La premiere application, qui developpe le secteur des menages grace a l'integration des donnees des comptes nationaux et de celles des enquetes-menages, montre les revenus, les depenses, l'epargne et les transferts fiscaux du secteur, selon le quintile de revenu et d'autres caracteristiques des menages. Pour cet exercice, les auteurs utilisent une approche axee sur les transactions de marche; cette approche ajoute une nouvelle perspective a l'epargne des menages, qui s'ecarte des concepts de comptabilite nationale et des totaux partiels de controle du Systeme de comptabilite nationale du Canada. La deuxieme application developpe le revenu d'emploi selon l'age, le sexe, le niveau d'etudes et la branche d'activite de l'emploi. La troisieme application montre les impots sur les produits selon le type de depense et le type d'impot.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".