50 Years of IASP: Reviewing the Vitality of Pain Research and Contributions from the French-speaking World
Bibliographic record
Abstract
l'occasion de ce premier numro de l'anne 2024, les rdacteurs en chef ont trouv que les circonstances imposaient de rdiger un article pour clbrer plusieurs vnements.La revue Douleur & Analgsie est la revue francophone de rfrence des cliniciens et chercheurs travaillant dans le domaine de la douleur.Organe officiel de la Socit franaise d'tude et de Traitement de la Douleur (SFETD), elle est galement affilie aux socits suisse et belge.Du ct canadien, nous sommes heureux de pouvoir compter sur nos collgues qubcois qui viennent enrichir notre quipe ditoriale avec le dynamisme de leurs recherches.Nous sommes trs heureux d'accueillir JLE, nouvel diteur de la revue qui va permettre celle-ci de continuer se dvelopper et proposer aux lecteurs de nouveaux contenus.Cette nouvelle dition de la revue vous propose dornavant une revue de presse trimestrielle.La premire de l'anne, plus longue qu' l'accoutume, vise clbrer les 50 ans de l'IASP (International Association for the Study of pain) et de quelques personnalits francophones qui ont contribu son essor.Vous trouverez donc quelques hommages en prambule de la revue de presse.Cette dernire fera le point sur les articles le plus cits de ces cinquante annes passes.Elle sera l'occasion de parler de cinq articles majeurs de l'anne 2023 avant de prsenter les premire ppites du premier trimestre 2024.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".