Deux siècles de biostratigraphie en massif armoricain : de l’enquête individuelle aux actions collectives
Bibliographic record
Abstract
La présence de fossiles est remarquée dans les roches anciennes de l’ouest de la France au XVIIIe siècle avec parfois descriptions et figurations. Divers auteurs recensent, dans les premières décennies du siècle suivant, de nombreux taxons mais en n’attachant souvent que peu d’attention à leur répartition verticale. Vers 1850, des études plus précises proposent des datations relatives. Ces travaux demeurent des œuvres individuelles, ce qui peut en limiter l’intérêt stratigraphique, tous les groupes de fossiles n’étant pas pris en compte. Cette constatation a induit, après 1970, l’entreprise de quelques actions collectives qui, malgré des résultats encourageants, ne furent pas poursuivies. Une page d’histoire de la paléontologie stratigraphique armoricaine s’est ainsi trouvée rapidement tournée.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".