Bibliographic record
Abstract
Aboriginal Peoples are facing a number of serious and complex environmen-tal issues within their territories. Post-secondary environmental education programs in Canada have been slow to adopt curriculum and develop pro-grams to meet the needs of Aboriginal students and their communities. This manuscript outlines necessary components of successful Indigenous envi-ronmental education programs at the post-secondary level based on the author’s participation in three such programs as a program developer/direc-tor, curriculum developer and instructor, the current literature, and, in addi-tion, her experiences as an Anishinaabe student studying Western science. Résumé Les peuples autochtones font face, sur leurs territoires, à de sérieuses et complexes questions de nature environnementale. Les programmes d’éduca-tion environnementale offerts au niveau postsecondaire au Canada tardent à concevoir des programmes et à adopter un programme d’enseignement
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".