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
Mary Douglas's retirement lasted almost a quarter of a century, quite long enough for her to fade pottering into obscurity. Yet what happened was diametrically, single-mindedly opposite: an increasing productivity well into her eighties; an unchallengeable position within British anthropology's most brilliant professional generation; and a generous reassessment within her own discipline of the work of her mid-career. Few could have predicted this outcome when in 1977 Douglas resigned her professorship at University College London in order to become Director of Research on Culture at the Russell Sage Foundation in New York. Fewer still as she found herself immediately mired in the controversial sacking of the man who had hired her. Yet Douglas emerged from this fray with risk analysis added to the already formidable range of fields on which she wrote. No field of anthropology–religion, symbolism, politics, economics, cognition, to name only a few–was untouched by her ideas.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.001 |
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