Bibliographic record
Abstract
Les précédents commentateurs ont eu tendance à traiter “Amundsen”, nouvelle figurant dans le recueil Dear Life (2012) d’Alice Munro, comme une histoire d’amour formellement organisée à partir d’archétypes traditionnels. La présente approche se veut plus originale en mettant en évidence les spécificités géographiques et historiques du récit, qui permettent de la situer non seulement dans l’Ontario des années 1940, mais aussi dans l’histoire du traitement de la tuberculose et de ses institutions. L’analyse de plusieurs volets du récit montre que le souhait de discipliner donne lieu une obéissance presque masochiste et auto-policée. Ce que l’on pourrait lire de prime abord comme une histoire d’amour apparaît, de manière plus crédible, comme l’histoire d’un traumatisme qui laisse la narratrice vide, détachée et incapable d’apprendre quoi que ce soit de l’expérience amère qu’elle raconte.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.023 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".