DwaipayanBanerjee, <i>Enduring Cancer: Life, Death, and Diagnosis in Delhi</i> (Durham: Duke University Press, 2020)Natalie L.Kimball, <i>An Open Secret: The History of Unwanted Pregnancy and Abortion in Modern Bolivia</i> (New Brunswick: Rutgers University Press, 2020)ElaineLeong, <i>Recipes and Everyday Knowledge: Medicine, Science, and the Household in Early Modern England</i> (Chicago: University of Chicago Press, 2018)LukeMessac, <i>No More to Spend: Neglect and the Construction of Scarcity in Malawi's History of Health Care</i> (New York: Oxford University Press, 2020)DanRoyles, <i>To Make the Wounded Whole: The African American Struggle against HIV/AIDS</i> (Chapel Hill: University of North Carolina Press, 2020)SaraVerskin, <i>Barren Women Biology, Medicine and Religion in the Medieval Middle East</i> (Berlin: De Gruyter, 2021)
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
Click on the article title to read more.
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 | 0.002 | 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 | 0.000 | 0.011 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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