Bibliographic record
Abstract
Il peut être troublant de constater comment l'année 1973 et les premiers mois de 2020 peuvent entrer en résonance.Comment, selon la théorie de l'effet papillon, un battement d'aile en 1973 produira quelques effets en 2020.Comment aussi, en forçant la « concordance des temps », un micro-organisme joue, aujourd'hui, le rôle du durcissement des politiques migratoires d'hier, faisant toucher du doigt au plus grand nombre le sort jusque-là réservé à quelques-uns.De là à croire que l'expérience récente des assignations à résidence, des syndromes post-traumatiques résultats de deux mois d'enfermement, des limitations à la liberté de circulation, ou que la « peur du gendarme » des « sans-papiers » du Covid-19, puissent sensibiliser l'opinion aux sort des migrants -rendus clandestins depuis au moins 1974 -, il y a un pas.Du Covid-19 au souci de l'Autre ?Une farce qui ne bénéficiera même pas de quelques applaudissements en hommage aux premiers de corvée.
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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 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.052 | 0.016 |
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".