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
The turn to ontology, often associated with the recent works of Philippe Descola, Eduardo Viveiros de Castro, and Bruno Latour, but evident in many other places as well, is, in Elizabeth Povinelli's formulation, “symptomatic” and “diagnostic” of something. It is, I here argue, a response to the sense that sociocultural anthropology, founded in the footsteps of a broad humanist “linguistic” turn, a field that takes social construction as the special kind of human reality that frames its inquiries, is not fully capable of grappling with the kinds of problems that are confronting us in the so-called Anthropocene—an epoch in which human and nonhuman kinds and futures have become so increasingly entangled that ethical and political problems can no longer be treated as exclusively human problems. Attending to these issues requires new conceptual tools, something that a nonreductionistic, ethnographically inspired, ontological anthropology may be in a privileged position to provide.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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