Bibliographic record
Abstract
De plus en plus, les administrations publiques s’appuient sur les marchés publics, c’est-à-dire les achats de biens, de services et de travaux par les administrations publiques et les entreprises publiques, pour mieux remplir leur mission et poursuivre des objectifs stratégiques plus larges. En plus de se conformer aux principes habituels et aux règles en vigueur, les administrations publiques s’emploient actuellement à améliorer l’efficience et l’efficacité de ce volet crucial de leurs activités. Qu’il s’agisse de cerner les besoins ; de trouver la bonne personne ou organisation pour les satisfaire ; ou de veiller à ce que les marchés soient exécutés dans les conditions de délai et de qualité prévues, il faut prendre en compte les incidences des marchés publics sur les performances du secteur public et sur la satisfaction des citoyens. C’est important non seulement pour les administrations centrales, mais aussi pour les administrations infranationales, qui concentrent la majorité des dépenses publiques liées à la passation des marchés publics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; both teacher heads agree on what is shown here.
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".