Indigenous Human Remains Database from Archaeological Sites in Québec: Preliminary Results
Bibliographic record
Abstract
This paper presents the preliminary results of a project initiated by the Mohawk Council of Kahnawa:ke and the Groupe de recherche ArchéoSociale/ArchéoScience (Université de Montréal) to create a database of archaeological sites in Quebec that included Indigenous human remains. This document will be a useful tool for the repatriation/rematriation process. Using existing inventories, the database collated various data points for each site, such as the Borden code, location, date, minimal number of individuals (MNI), location of remains, reports, etc. Three site categories were identified: 1) those describing the discovery of human remains associated with Indigenous people (103 sites); 2) those without skeletal remains despite mentioning the presence of burial(s) (8 sites); and 3) those not reporting any information (81 sites). From these sites, information on more than 678 individuals have been collected so far. Site mapping has allowed the visualization of site distribution spatially and through time. Further research is needed to clarify the cultural affiliation and the storage location of these human remains.
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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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".