Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.052 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it