Bibliographic record
Abstract
Accurate determination of the sex of immature skeletal remains is difficult in the absence of DNA, due to the fact that most sexually dimorphic features of the human skeleton develop as secondary sex characteristics during adolescence. Methods of assessment of adult skeletons cannot reliably be applied to adolescent skeletons because of the transitional nature of the skeleton at puberty and the variability of the adolescent growth spurt. The purpose of this work was to evaluate the accuracy of Rogers's method of morphological sex determination using the distal humerus (Rogers: J Forensic Sci 44 (1999) 55-59) to assess the sex of adolescent skeletons. The sample consists of 7 documented adolescent skeletons from the Christ Church Spitalfields collection at the British Museum of Natural History and 35 from the Luis Lopes skeletal collection housed in the National History Museum (Museu Bocage) of the University of Lisbon, Portugal. Ages range from 11 to 20 years. The technique achieved an accuracy of 81% on the combined sample of 42. This method can be applied to adolescent skeletons once the trochlea begins fusing to the humeral diaphysis, which occurred by age 11 years in the test samples.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".