Reviews
Bibliographic record
Abstract
Jean-François Bert and Elisabetta Basso (eds) (2015), Foucault à Münsterlingen. À l’origine de l’Histoire de la folie (Paris: Éditions de l’EHESS), 285 pp., €24, ISBN 9782713225086. Čarna Brković (2017), Managing Ambiguity: How Clientelism, Citizenship, and Power Shape Personhood in Bosnia and Herzegovina (Oxford: Berghahn), 208 pp., $120.00/£85.00, ISBN 9781785334146. William A. Douglass (2015), Basque Explorers in the Pacific Ocean (Reno: University of Nevada Press), 230 pp., $24.95, ISBN 9781935709602. Peter Naccarato, Zachary Nowak and Elgin K. Eckert (eds) (2017), Representing Italy through Food (London: Bloomsbury Academic), 269 pp., £85, ISBN 9781474280419. Bruce O’Neill (2017), The Space of Boredom: Homelessness in the Slowing Global Order (Durham: Duke University Press), 280 pp., $25.95, ISBN 9780822363286. Tomasz Rakowski (2016), Hunters, Gatherers, and Practitioners of Powerlessness: An Ethnography of the Degraded in Postsocialist Poland (Oxford: Berghahn), 332 pp., $130.00/£92.00, ISBN 9781785332401. Antonio Sorge (2015), Legacies of Violence: History, Society, and the State in Sardinia (Toronto: University of Toronto Press), 232 pp., $24.61, ISBN 9781442627291. Helena Wulff (ed.) (2016), The Anthropologist as Writer: Genres and Contexts in the Twenty-First Century (Oxford: Berghahn), 288 pp., $130.00/£92.00, ISBN 9781785330186.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.387 | 0.301 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".