Bibliographic record
Abstract
Due to its unique history of indigenous-non-indigenous relations, Canada's most western province is the jurisdiction where tension about land tenure appears in truly distinctive forms. The tense relations, unfortunately, seem even more tragic when one learns of how much time and energy individuals and groups devote to alleviating hostilities. Efforts to facilitate resolution about land issues have been to little avail in British Columbia. In order to eliminate this oft-repeated pattern of failed strategies, the following presentation describes how all those involved in resolution must gain a better appreciation of the constitutive qualities that “treaty-making” contains. Misapplying these ideas has impeded resolution in the past and this error, if continued, will simply increase the unease about land tenure felt among all British Columbians in the future.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.077 | 0.021 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.008 | 0.020 |
| Insufficient payload (model declined to judge) | 0.015 | 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".