Bibliographic record
Abstract
Cet article vise à mettre en perspective le travail de médiation du patrimoine de l’aluminium qui est mené sur le territoire arvidien et, plus particulièrement depuis 2010, dans le cadre du projet Mémoires d’Arvida né d’une initiative du Comité pour la reconnaissance patrimoniale d’Arvida. Le cœur de la démarche est constitué d’une collecte de témoignages et de sa valorisation numérique. À cette entreprise principale, se sont ajoutées plusieurs activités de médiation, animations et expositions, qui ont mobilisé les citoyens autour de leur patrimoine. Après avoir dressé un premier bilan des interventions menées dans l’espace urbain et sur le territoire numérique, nous pourrons ensuite évaluer les effets du travail de médiation sur les liens que les citoyens entretiennent avec leur patrimoine et plus encore sur la communauté qui se forme autour de celui-ci.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".