Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract What kind of guidance can the world Eduardo Kohn calls “forest” provide for living well on Earth in times of planetary anthropogenic ecological fragmentation? How, that is, can humans learn to ecologize their ethics? Reflecting on his ongoing ethnographic research in and around Indigenous communities of Ecuador’s Upper Amazon, Kohn uses what he learned to help find a path that can orient humans in their attempts to live well in relation to the many kinds of others that make and hold them. Ecologizing ethics, this article argues, turns on understanding the living world as a “thinking forest,” one that is mind manifesting or psychedelic in nature and as such requires a mode of attention that is itself psychedelic. Ethical guidance comes from finding ways to appreciate the “shape” of the larger mind of which people are a part, and in this way, to find direction from that form as it becomes manifest to them. This article discusses, thus, the ways in which an ecologized ethics is linked to the aesthetic ground from which it emerges.
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.
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 | 0.001 | 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) | 0.007 | 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 it