Endangered Wildlife, First Nations, and Recreation Education on a Mountain
Bibliographic record
Abstract
The Grouse Mountain Refuge for Endangered Wildlife is one of Canada's newest and most unique conservation centers. It is a wildlife refuge located within a historical ski resort, and is a 15 minute drive from beautiful downtown Vancouver, British Columbia—Canada's third largest city. Located on over 500 hectares of privately-owned mountaintop property and accessible only by aerial tram, the refuge serves a local area population of over 400,000 school children. The mission of the refuge is to be a world leader in the preservation of endangered species through the use of wildlife management and breeding programs, conservation initiatives, imperiled flora and fauna study and research programs, and leading edge public education and interpretive programs. Education programs feature wildlife species at risk, aboriginal culture, and outdoor recreation. The first education initiative was to develop school programs that • are based on current educational theories; • are specific to the local public school curriculum; • create an awareness about British Columbia's indigenous wildlife species at risk; • increase the curricular time teachers spend on local wildlife issues; • provide sufficient supporting information and lesson ideas; • encourage repeat visitors; and • integrate with the existing facility infrastructure.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".