Reviews
Bibliographic record
Abstract
Peter Berta (2019),Materializing Difference: Consumer Culture, Politics, and Ethnicity among Romanian Roma(Toronto: University of Toronto Press), 390 pp., $67.50, ISBN 9781487500573. Niko Besnier, Susan Brownell and Thomas F. Carter (eds) (2018),The Anthropology of Sport: Bodies, Borders, Biopolitics(Berkeley: University of California Press), 336 pp., $29.95/£25.00, ISBN 9780520289017. Martin Demant Fredriksen (2018),An Anthropology of Nothing in Particular(Winchester: Zero Books), 118 pp., £10.99, ISBN 9781785356995. Caroline Hornstein-Tomić, Robert Pichler and Sarah Scholl-Schneider (eds) (2018),Remigration to Post-Socialist Europe: Hopes and Realities of Return(Münster: LIT Verlag), 467 pp., £39.90, ISBN 3643910258. Peter Mulholland (2019),Love’s Betrayal: The Decline of Catholicism and Rise of New Religions in Ireland(Oxford: Peter Lang), 362 pp., £73.62, ISBN 9781787071278. Michał Murawski (2019),The Palace Complex: A Stalinist Skyscraper, Capitalist Warsaw, and a City Transfixed(Bloomington: Indiana University Press), 338 pp., $40.00, ISBN 9780253039996. Nikolai Ssorin-Chaikov (2017),Two Lenins: A Brief Anthropology of Time(Chicago: Hau Books), 150 pp., $22.05, ISBN 0997367539.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.425 | 0.358 |
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".