Bibliographic record
Abstract
Les effets de l'épidémie d'influenza au Canada en 1918 et 1919 comportent de multiples facettes. Malgré les méthodes diverses mises de l'avant pour combattre la maladie, on n'avait pu découvrir une cure adéquate. Parce que la crise fut soudaine, on dût s'organiser en hâte, ce qui entraîna de la confusion et une certaine dose de manque d'information sur les responsabilités dévolues à chaque organisation. Certaines entreprises furent durement touchées; les compagnies d'assurance-vie, par exemple, durent non seulement travailler avec un personnel décimé par la maladie, mais encore vit le nombre de réclamations monter en flèche. Il est possible, par contre, que l'épidémie ait eu quelqu'effet positif sur le règlement de la guerre. Chose certaine, elle a forcé à une réorganisation complète des services de santé au Canada et dans d'autres pays.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".