Bibliographic record
Abstract
In respect of the Dene, Nakawê, Lakota, Dakota, and Nakota, and Cree knowledge keepers and Elders, the information provided in this book is only a general guide to the protocols and methodologies of First Nations.The importance of following appropriate guidance from respected First Nations Elders and knowledge keepers in these matters is paramount.In no way should any reader of this book undertake First Nations protocols and methodologies without appropriate guidance from respected First Nations Elders and knowledge keepers.There is diversity among the First Nations cultures of Saskatchewan.The protocols and methodologies of these First Nations cultures vary.In particular, it should also be noted that not all First Nations have the same "rites of access, " and Elders or other knowledge keepers should be consulted for appropriate protocols.
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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 | 0.006 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.015 | 0.018 |
| Insufficient payload (model declined to judge) | 0.098 | 0.114 |
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".