Un nouveau projet de recherche sur le sanctuaire gallo-romain des Sources de l'Yonne: Complément au rapport annuel 2015 et au rapport triennal 2013-2015 du programme de recherche quadriennal 2013-2016
Bibliographic record
Abstract
Ce dossier expose un nouveau projet de recherche que l’on souhaite démarrer en 2016 dans le cadre de la décision de fouille relative aumont Beuvray, pour se poursuivre durant le cycle quadriennal de recherche 2017-2020.Le volet opérationnel de la recherche sera confié à Tom Moore, maître de conférences à l’université de Durham, qui était déjà intervenusur le site des Sources de l’Yonne entre 2006 et 2011 pour des prospections géophysiques et des sondages. Son intervention se fera dansle cadre d’un chantier-école de l’université de Durham, avec un soutien financier conséquent de l’université. Il sera par ailleurs appuyépar toutes les compétences qu’il conviendra de mobiliser au sein des partenaires du programme de recherche et de l’équipe de Bibracte.Ainsi, en 2016, la campagne de terrain de l’université de Durham sera accompagnée d’une prospection géophysique (magnétique etradar) qui sera conduite par Peter Milo (université de Brno).
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".