Épidémiologie de la maladie dégénérative vertébrale dans des séries ostéologiques documentées. Proposition d’une nouvelle méthode de cotation et première application aux articulations interapophysaires lombaires
Bibliographic record
Abstract
In paleopathology and forensic anthropology, contrary to vertebral degenerative disease (VDD) that has been extensively studied, the whole vertebral joints have been almost never investigated by standardizing methodology that allows approximating the epidemiological performance of various vertebral joints in relation to articular degeneration. In order to better define the paleoepidemiological aspects of VDD in osteological series, we have developed a research program based on the recording of degenerative lesions in the whole vertebral joints; this approach uses known age and sex, and involves a new quantitative methodology based on a topographic division. The 250 studied spines are from documented osteological collections of Schoten (Belgium), Bologna (Italy) and Sassari (Sardinia). We present here the first results relating to the lumbar apophyseal joints. No severity differences can be demonstrated according to sex or spine side. We have observed that subjects over 50 years old showed at least one articular surface with degenerative lesion. Thus, it is the extension stage of lesions more than their severity that should be linked with age.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".