Bibliographic record
Abstract
Book reviewed in this article: JANE BALIN, A Neighborhood Divided: Community Resistance to an AIDS Care Facility HIMANI BANNERJI, The Dark Side of the Nation: Essays on Multiculturalism, Nationalism and Gender CECILIA M. BENOIT, Women, Work and Social Rights: Canada in Historical and Comparative Perspective HELEN K. BLACK and ROBERT L. RUBINSTEIN, Old Souls: Aged Women, Poverty, and the Experience of God EVELYN BLACKWOOD and SASKIA E. WIERINGA, eds., Female Desires: Same‐Sex Relations and Transgender Practices Across Cultures KIERAN BONNER, A Great Place to Raise Kids: Interpretation, Science and the Urban‐Rural Debate VALERIE BRYSON, Feminist Debates: Issues of Theory and Political Practice ALISON J. CLARKE, Tupperware: The Promise of Plastic in 1950s America JUANNE NANCARROW CLARKE with LAUREN NANCARROW CLARKE, Finding Strength: A Mother and Daughter's Story of Childhood Cancer CAROLE M. COUNIHAN, The Anthropology of Food and Body: Gender, Meaning and Power MARC EDELMAN, Peasants against Globalization. Rural Social Movements in Costa Rica IAN GOUGH and GUNNAR OLOFSSON (eds.), Capitalism and Social Cohesion: Essays on Exclusion and Integration ALENA HEITLINGER (ed.), émigré Feminism: Transnational Perspectives SUSAN F. HIRSCH, Pronouncing and Persevering: Gender and the Discourse of Disputing in an African Islamic Court
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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.409 | 0.426 |
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".