Bibliographic record
Abstract
Cet article a pour point de départ le rapport présenté lors des journées internationales Capitant 2014 et publié dans les actes de ces journées.Gaële GIDROL-MISTRAL, « Rapport québécois.Biens et immatériel », dans L'immatériel.Travaux de l'Association Henri Capitant, Journées espagnoles de Barcelone et Madrid, t.LXIV, Paris, éd.LB2V et Bruylant, 2015, p. 261.Il complète le rapport, affine et développe de nouvelles idées et propose une réflexion sur le régime juridique des biens immatériels.L'auteure remercie les évaluateurs pour leurs commentaires critiques qui ont permis d'affiner l'analyse menée mais les idées et les erreurs restent les siennes.** .Professeure, Département des sciences juridiques, Faculté de science politique et de droit, Université du Québec à Montréal (UQÀM).Les biens immatériels 68 en quête d'identité (2016) 46 R.D.U.S. SOMMAIRE I. Enquête sur les biens immatériels: du dogme de la matière au paradigme de la valeur .....................................
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".