Bibliographic record
Abstract
Notre exposé se propose d’aborder les questions suivantes :— l’héritage archivistique du Royaume d’Italie au moment de l’unification nationale (1861) ;— archives administratives et archives historiques : le choix du rattachement au même ministère (Intérieur) ;— la marche prudente vers une organisation homogène ;— les bâtiments affectés aux archives et leur conséquence sur la conservation des fonds ;— le discours de la méthode : la permanence des systèmes de classement uniformes et l’application progressive du respect de l’ordre interne des fonds (« L’ordre historique des affaires et des actes », selon le règlement du décret royal du 27 mai 1875) ;— le métier d’archiviste et la recherche historique ;— l’influence des idéologies sur les archives : les tris, les archives secrètes, les musées d’archives ;— les archivistes déchirés entre identité nationale à bâtir, traditions régionales à respecter, et devoirs d’impartialité.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".