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.
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 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".