The Role of Canadian Bison Producers in Conserving the Plains (Bison bison bison) and Wood (Bison bison athabascae) Bison
Bibliographic record
Abstract
This project examines the curious tension between conservation and commercial livestock production in a case study of Plains bison (Bison bison bison) and Wood bison (Bison bison athabascae) in Canada. Despite a population of nearly 200,000 individuals, bison in Canada are species of conservation concern as over 90% exist in commercial production rather than for ecological conservation. Where conservation goals for bison include preserving wildness, genetic diversity, and ecological function, ranchers typically prioritize profits through artificial selection and intensive management. However, the Canadian Bison Association (CBA) — an organization committed to protecting the industry — has taken strides to identify with conservation. Interviews with CBA representatives and bison ranchers were conducted to understand the creation of and participation in conservation initiatives, as well as perspectives on the future of bison in Canada. Overall, the results inform bison conservation and contribute to the literature on stakeholder values in cross-jurisdictional wildlife conservation.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".