La performance productive d’un service public. Définitions, méthodes de mesure et application à la Régie des Postes en Belgique
Bibliographic record
Abstract
La notion de performance productive est ici définie par référence au fait que l’entreprise opère plus ou moins près de la frontière de son ensemble de production. Il s’agit de l’efficacité technique au sens de Koopmans. Trois méthodes de mesure de celle-ci sont proposées, et ensuite appliquées aux opérations de près de 800 bureaux de poste en Belgique en 1980 (observations portant sur un mois) et en 1983 (observations sur douze mois). Si le niveau moyen de l’efficacité technique observée s’avère relativement élevé, son évolution mensuelle au cours de l’année 1983 révèle une forte rigidité d’adaptation de la main-d’oeuvre aux pointes saisonnières du trafic postal.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".