Essentielle convergence de pensées entre Écologie, Interprétation, Muséologie et Patrimoine
Bibliographic record
Abstract
À la lumière des recherches et des projets qui ont jalonné un ample parcours professionnel, déployé dans l’univers de la conservation et de la mise en valeur de lieux d’exception, l’auteure synthétise les éléments phares qui ont permis de créer des passerelles de sens entre les quatre domaines suivants : écologie, interprétation, muséologie et patrimoine. Le fil conducteur de l’article montre à quel point ces liens de sens ont reposé notamment sur le développement d’une dimension éducative inhérente à l’expérience proposée et vécue, que ce soit du côté de celui qui la définit ou de celui qui la vit. L’incontournable liant que constitue l’enracinement identitaire, inscrit dans des territoires maintenant en quête de nouveaux savoirs, ancrages, expériences et développements, demeure l’assise de toute action.
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 | 0.015 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.009 | 0.051 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".