Bibliographic record
Abstract
Book reviewed in this article: PAUL ANISEF and MICHAEL LANPHIER (eds.), The World in a City. REGINALD BYRON (ed.), Retrenchment and Regeneration in Rural Newfoundland. ROBERT CASTEL, l'insécurité sociale. Qu'est‐ce qu'être protégé? HELEN GREMILLION, Feeding Anorexia: Gender and Power at a Treatment Center. YVONNE M. HÉBERT (ed.), Citizenship in Transformation in Canada. STEVE HEWITT, Spying 101: The RCMP's Secret Activities at Canadian Universities, 1917–1997. WINSTON JACKSON, Methods: Doing Social Research. KARIM H. KARIM, Islamic Peril: Media and Global Violence. BERT KLANDERMANS and SUZANNE STAGGENBORG (eds.), Methods of Social Movement Research. MURRAY KNUTTILA, Introducing Sociology: A Critical Perspective. JULIA KRISTEVA and SYLVERE LOTRINGER (eds.), Revolt, She Said. JANE LEWIS, Should We Worry about Family Change? JEANNETTE MARIE MAGEO (ed.), Dreaming and the Self: New Perspectives on Subjectivity, Identity, and Emotion. ROD MICHALKO, The Difference That Disability Makes. OBIORA CHINEDU OKAFOR and OBIJIOFOR AGINAM (eds.), Humanizing Our Global Order: Essays in Honour of Ivan Head. CHARLES RAGIN, Fuzzy‐Set Social Science. ANA Y. RAMOS‐ZAYAS, National Performances: The Politics of Class, Race, and Space in Puerto Rican Chicago. RICHARD SANDELL (ed.), Museums, Society, Inequality. AYSAN SEVER, Fleeing the House of Horrors: Women Who Have Left Abusive Partners. HEATHER STRANG and JOHN BRAITHWAITE (eds.), Restorative Justice and Family Violence. TANYA TITCHKOSKY, Disability, Self, and Society.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.471 | 0.512 |
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".