Bibliographic record
Abstract
Alors que les déboires des institutions financières liées au marché hypothécaire à risque (subprimes) se sont accumulés depuis plusieurs mois, l’auteur identifie d’abord quelques institutions américaines prises dans la tourmente en septembre et en octobre, une contagion qui s’est poursuivie sur les marchés européens et asiatiques. Il passe également en revue quelques solutions drastiques mises de l’avant par les gouvernements et les Banques centrales pour aider les milieux financiers, non pas tant pour sauver quelques institutions mais pour sauver le système lui-même et toute l’économie dangereusement menacée. Il examine enfin la situation de certains marchés financiers canadiens, tant en ce qui concerne le secteur bancaire que celui de l’assurance. Les institutions financières canadiennes semblent mieux se comporter que leurs consoeurs américaines. Face à la conjoncture actuelle, on s’attend à ce que le marché de l’assurance et de la réassurance se durcisse dans les mois à venir.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".