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
Few historians would deny that skills are at the heart of modern medicine. Yet skill can prove troublesome to define. The content of what counts as a medical skill ranges widely across different dimensions of the body and self, as through places, disciplines and phases of history. From the physician's touch in physical examination to the discriminating eye of the histologist, from empathy in nursing to precision in surgery: all suppose and reproduce a skilled practitioner. Despite or perhaps because of their abundance, skills have appeared too easily as a self-evident feature of medical history. Their ubiquity and the wide spectrum of concepts they assimilate have obstructed efforts to historicise them, or to explore the wider implications of their transience. Impossible to deny and yet notoriously hard to define, skills in medical history are everywhere and nowhere at once, persistent through its sources and yet rare as organising principles of its scholarship. 1 The object of this volume is to address that asymmetry, and begin unsettling the self-evidence of skills by drawing them into critical focus.
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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.130 | 0.018 |
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