Bibliographic record
Abstract
This article presents the results of studies conducted by Canadian academics in collaboration with Sturgeon Lake and Pelican Narrows First Nations communities (Saskatchewan, Canada). The objectives of the project were: (1) developing a research ethics protocol for collecting, studying, and preserving indigenous artefacts; (2) measurements of chemical compositions of artefacts; (3) collecting oral stories of Elders. Within the project, two workshops were organized in Pelican Narrows and Sturgeon Lake. Post-secondary students were trained to work on the project. The laboratory measurements of chemical compositions of artefacts were conducted at the Scanning Electron Microscope Laboratory (University of Alberta), and the Saskatchewan Isotope Laboratory (University of Saskatchewan). The carbon-dating measurements were carried out at André E. Lalonde Accelerator Mass Spectrometry Laboratory (University of Ottawa). The statistical analysis of chemical compositions was conducted in order to test the provenance similarities of artefacts. The project was supported by the Department of Canadian Heritage.
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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".