Undergraduate curricula in the USA, Canada, New Zealand and Australia: Are we missing the mark on Indigenous peoples and parks?
Bibliographic record
Abstract
Indigenous peoples’ rights increasingly demand the attention of government agents, including protected area managers in the CANZUS states (Canada, Australia, New Zealand and the USA). Park/Indigenous relations are a fundamental job competency for CANZUS park employees. This exploratory research draws on the curricula of 391 university major programmes to quantify the extent to which CANZUS university programmes in natural resources management, park management and allied fields might prepare aspiring CANZUS park employees to work with Indigenous peoples; I conclude the programmes generally fail to do so. Zero American park management majors in the study require Indigenous-focused coursework. In the Commonwealth countries, 52 per cent of park management programmes do so. Only 6 per cent of American natural resources management majors require such coursework, versus 45 per cent in the Commonwealth countries. This calls attention to an urgent need to improve aspiring park employees’ understanding of how their work intersects with Indigenous peoples and settler-colonialism.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".