Introduction au numéro spécial sur<i>Albertosaurus</i>
Bibliographic record
Abstract
Le present numero special vient souligner le centenaire de l’importante decouverte de Barnum Brown dans les Badlands de l’Alberta. Ce chercheur de l’American Museum of Natural History (AMNH), a New York, etait venu en Alberta en 1909 pour verifier un signalement d’ossements de dinosaures a proximite de l’actuel village de Drumheller. Ce qu’il y vit l’incita a organiser une expedition qui, le 3 aout 1910, entrepris la descente de la riviere Red Deer a bord d’un radeau. En descendant la riviere, Brown et son equipe s’arreterent frequemment pour chercher des fossiles dans les Badlands. Le 11 aout, ils trouverent ce qu’ils pensaient etre la majeure partie d’un squelette d’Albertosaurus dans de la roche consolidee. Le lendemain, ils realiserent toutefois qu’ils etaient en train d’excaver des ossements bien preserves de plusieurs individus. Dans ses notes de terrain, Peter Kaisen, assistant de Brown, nota que « tout le sommet d’une colline n’est qu’une masse d’ossements. Il y a quatre pieds posterieurs en vue, des vertebres et de nombreux ossements de membres ». Le 4 septembre, ils chargerent huit boites d’ossements (le resultat de 29 jours-personnes passes dans le lit a ossements) sur leur radeau et poursuivirent la descente de la riviere. Les specimens furent expedies a New York, ou ils furent prepares, exposes pendant quelque temps, puis essentiellement relegues aux oubliettes. Bien que, a l’occasion, Brown ait mentionne la decouverte de 1910 dans des articles (Brown 1914; Matthew et Brown 1923) et des publications grand public, il ne redigea rien qui portât specifiquement sur le lit d’ossements d’ …
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.067 |
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".