Structural violence and the nature of cemetery-based skeletal reference collections
Bibliographic record
Abstract
The sourcing of cadavers for North American skeletal reference collections occurred immediately after death and targeted the poor and marginalised. In Europe, collections sourced bodies that were buried and unclaimed after some time in cemeteries with no perpetual care mandate, and may have also targeted the underprivileged. The relationship between socio-economic status (SES) and abandonment was examined in a sample of unclaimed remains (603 adults and 98 children) collected from cemeteries in the city of Lisbon, Portugal, that were incorporated in a collection. Results demonstrate that low SES individuals are not more likely to be abandoned nor to be incorporated in the collection than higher SES individuals. Furthermore, historical data indicate that the poorest were not incorporated into the collection, because of burial practices. Although the accumulation of collections in North America was facilitated by structural violence that targeted the poor and marginalised, this phenomenon seems largely absent in the Lisbon collection.
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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 | 0.010 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".