Coyote and Raven (P)re-Visit Environmental Education, Sustainability, and Run-Away Capitalism.
Bibliographic record
Abstract
Together with ubiquitous agent evocateurs, Coyote and Raven, the authors engage trickster discourse and narrative shapeshifting as they share research protocols and community conversations based on their research with the four Lower Stl’atl’imx communities (Xa’xtsa, N’Quat’qua, Skatin and Samahquam First Nations) of British Columbia, Canada, in their efforts toward language and cultural regeneration, community sustainability and self-determination. Resume En collaboration avec les personnages evocateurs et omnipresents que sont le Coyote et le Corbeau, les auteurs, par la voix du Filou et la narration des metamorphoses, exposent les protocoles de recherche et les discussions communautaires d’apres leur etude aupres des quatre collectivites Lower Stl’atl’imx (les Premieres Nations Xa’xtsa, N’Quat’qua, Skatin et Samahquam) de Colombie-Britannique, au Canada, dans le but de regenerer la langue et la culture, d’atteindre une durabilite communautaire et de susciter l’autodetermination.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".