Bibliographic record
Abstract
L’évolution enregistrée par la notion de patrimoine industriel ces dernières années implique un réexamen des récits qui vont traditionnellement de pair avec les pratiques de valorisation des sites industriels. Cet article vise à mettre en évidence les principales innovations disciplinaires en référence à trois aspects spécifiques. Avant tout on essayera de signaler l’extension des phénomènes étudiés à de nouveaux domaines. Les nouvelles études thématiques de TICCIH et les récents colloques sur les patrimoines lies à l’énergie atomique et à l’aérospatial ouvrent de nouveaux terrains de recherche qui semblent annoncer un grand élargissement de l’horizon disciplinaire. Un deuxième aspect est celui des nouvelles pratiques de conservation où l’urgence d’assigner des nouvelles fonctions au patrimoine industriel réaffecté implique des approches qui doivent conjuguer protection et transformation. Le dernier aspect est celui des nouvelles valeurs dans les stratégies de patrimonialisation qui visent à faire émerger certains cotés qui souvent n’ont pas trouvé un espace suffisant dans les récits habituels : la question coloniale et la question de l’environnement.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".