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
First introduced as a funerary option in the early twenty-first century but initially limited to North America, the reach of alkaline hydrolysis (AH) is now growing year on year, with the number of US states, Canadian provinces and other countries around the world introducing legislation to permit its use regularly increasing. While AH has largely been framed as an environmental alternative to cremation, the reasons for its appeal stretch far beyond this ‘selling point’. Arguably more pertinent reasons for its appeal are grounded in the new ritual-symbolic opportunities that AH affords. Drawing on fieldwork conducted in the United States of America in 2022, this paper discusses some of the reasons why AH has been chosen and explores how the innovative possibilities it offers may bolster its appeal as its availability becomes more widespread. Amongst other reasons explored in this paper, my research found that the choice of AH has been driven by four key motivations, grounded in the perception of AH as an environmental, gentle, water-based and natural choice.
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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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