Contribution to the study of the equine quarter horse breed (His characteristics, his services, his conditions)
Bibliographic record
Abstract
Le Quarter Horse est issu du croisement des chevaux européens importés par les colons sur le sol des Etats-Unis. Il fut d'abord utilisé comme cheval de travail et pour les cour ses de villages d'un quart de mile auxquelles il doit son nom. Il a ensuite évolué vers un cheval robuste et d'une grande adaptabilité. Première race de chevaux au monde par le nombre de ses représentants, il est peu connu en France où son élevage tend à se développer grâce au succès de l'équitation western. Cette dernière reste sa discipline de prédilection, mais sa polyvalence fait qu'il est aussi apprécié en équitation classique. La fixation du standard en 1940 a limité le nombre d'étalons fondateurs de la race et favorisé la consanguinité à l'origine de l'apparition de maladies génétiques. Des tests ADN existent pour détecter les porteurs et éviter leur mise à la reproduction. Ainsi leur éradication passe par l'information des éleveurs.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".