L'examen des politiques monétaires d'assouplissement quantitatif
Bibliographic record
Abstract
Ce travail propose l’examen des mesures d’assouplissement quantitatif qui sont l’un des grands sujets d’actualité dans le monde des politiques monétaires et des Banques Centrales. Dans un premier temps, les fondements théoriques ainsi que les risques potentiels liés à ces mesures seront décrit. De surcroît, le rôle et le mandat des Banques Centrales seront aussi évoqués. Dans un deuxième temps, cette mesure sera illustrée par l’étude de trois situations où cette dernière a été adoptée par les autorités monétaires. Finalement, ces analyses permettront de démontrer les effets positifs et négatifs de ces politiques monétaires ainsi que les différentes applications possibles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.040 | 0.012 |
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".