Bibliographic record
Abstract
RONALD J. BERGER, Fathoming the Holocaust: A Social Problems Approach REGINALD W BIBBY, Restless Gods: The Renaissance of Religion in Canada BRUCE CURTIS, The Politics of Population: State Formation, Statistics, and the Census of Canada, 1840–1875 DAVID DAMAS, Arctic Migrants/Arctic Villagers: The Transformation of Inuit Settlement in the Central Arctic FAWZIA AFZAL‐KHAN and KALPANA SESHADRI‐CROOKS (eds.), The Pre‐Occupation of Post‐Colonial Studies MICHAEL R. HAINES and RICHARD H. STECKEL (eds.), A Population History of North America WILL C. VAN DEN HOONAARD (ed.), Walking the Tightrope: Ethical Issues for Qualitative Researchers MEG LUXTON and JUNE CORMAN, Getting By in Hard Times: Gendered Labour at Home and on the Job HEATHER MONTGOMERY, Modern Babylon?: Prostituting Children in Thailand ELIZABETH A. POVINELLI, The Cunning of Recognition: Indigenous Alterities and the Making of Australian Multiculturalism STEPHEN E REYNA, Connections: Brain, Mind, and Culture in a Social Anthropology LYN SCHUMAKER, Africanizing Anthropology: Fieldwork, Networks, and the Making of Cultural Knowledge in Central Africa
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.381 | 0.380 |
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".