Bibliographic record
Abstract
Rogers’ (1999, 2009) visual method is a technique for estimating skeletal sex based on four traits of the distal humerus, and is valuable in cases of commingled or fragmented remains when use of more dominant cranial and pelvic methods is not possible. However, Rogers’ initial accuracy of 92% has not been replicated by subsequent tests of the method, and the role of biological ancestry in the accuracy of this method has not been sufficiently addressed. I conducted a blind test of the method on a sample of nineteenth-century American black and white individuals from the Hamann-Todd Collection. This test resulted in an overall accuracy of 67%, ranging from 54–73% between the two groups. These results demonstrate that accurate estimation of sex using the method is two times more likely for a white individual than for an black individual. More research is required to understand the cause of this variation. Prior to applying this method in bioarchaeological and forensic contexts, future should consider these results that the method is not consistently accurate across all human populations. Discipline: Anthropology (Honours) Faculty Mentor: Dr. Hugh McKenzie
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 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 | 0.002 | 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 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".