Note de recherche. Fouilles en 2019 et 2020 de l’ancien cimetière Saint-Antoine (1799-1854), Montréal : inhumations en terre profane
Bibliographic record
Abstract
Dans le cadre d’un projet de réaménagement dans l’emprise de la rue Peel à Montréal en 2019 et 2020, des fouilles archéologiques ont été réalisées dans le secteur ouest de l’ancien cimetière catholique Saint-Antoine datant de la première moitié du xixe siècle. Un espace dédié aux sépultures privées du rite ecclésiastique a été circonscrit et documenté en se distinguant du reste du cimetière dans les modes d’inhumation, le recrutement funéraire et le mobilier accompagnant les défunts. En outre, certaines des fosses les plus récentes de cette section du cimetière renferment des restes humains ayant fait l’objet de dissection. Les analyses prévues permettront de documenter un pan de l’histoire de la médecine du xixe siècle et du traitement des corps du point de vue de l’archéologie.
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 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".