Lost and then found: The Mendes Correia Collection of identified human skeletons curated at the University of Porto, Portugal
Bibliographic record
Abstract
Among the several human skeletal reference collections that have been amassed in Portugal, there is one that has remained in nearly anonymity for its almost entire existence. The collection was initiated by Mendes Correia who collected abandoned skeletal remains from cemeteries of the city of Porto circa 1912-1917. Over the years and for unknown reasons its original documentation was lost and the collection has been treated as an unidentified assemblage of specimens for many years. Two previously unnoticed publications from the 1920’s were found to have published basic biographic data for each individual in the collection, thus restituting some of the lost information. The surviving Mendes Correia Collection is currently located at the Natural History Museum and at the Faculty of Sciences of the University of Porto. It is comprised of 99 individuals of known sex, age, and nativity, whose skeletons are found in various states of completeness. They represent a segment of the population of the city of Porto who were born throughout the 19th century. It is hoped that the information gathered and provided here can restore some of the lost research value of the Mendes Correia skeletal reference 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".