Bibliographic record
Abstract
Présentation: L’année 2015 marque le dixième anniversaire de la mort de Raymond Klibansky, philosophe et historien des idées canadien. La revueDialoguelui rend hommage en publiant le texte qui suit de Mme Ethel Groffier, veuve de Raymond Klibansky et chercheure émérite au Centre de recherche Paul-André Crépeau en droit privé et comparé de l’Université McGill. Dans cette intervention, Mme Groffier rappelle l’importance de l’engagement dans la vie et l’œuvre de ce remarquable philosophe. Né en France au mois d’octobre 1905 dans une famille allemande, éduqué en Allemagne à partir de la Première guerre, exilé en Angleterre en 1933, Raymond Klibansky s’installa à Montréal dès 1946, à l’invitation de l’Université McGill. Sa carrière académique au Canada et à l’étranger fut admirable et reconnue par de nombreux hommages. Il laisse derrière lui une œuvre imposante, tant en philosophie qu’en histoire des idées modernes; parmi ces idées, il s’attacha particulièrement à la tolérance et à la liberté, qui inspirèrent toute sa vie. Luc Langlois
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".