Bibliographic record
Abstract
Citation (2006), "Subject Index", Demos, V. and Texler Segal, M. (Ed.) Gender and the Local-Global Nexus: Theory, Research, and Action (Advances in Gender Research, Vol. 10), Emerald Group Publishing Limited, Leeds, pp. 225-227. https://doi.org/10.1016/S1529-2126(06)10012-0 Publisher: Emerald Group Publishing Limited Copyright © 2006, Emerald Group Publishing Limited Book Chapters Introduction: Gender and the Local-Global Nexus – Theory, Research, and Action Thinking of Gender in a Holistic Sense: Understandings of Gender in Sulawesi, Indonesia Variations in Masculinity from a Cross-Cultural Perspective Is There a Need to (un)Gender the Past? Young People's Attitudes to Gender Issues: Asian Perspectives A Comparative Analysis of Sex Role Ideology in Canada, Mexico and the United States The “Free University of Women.” Reflections on the Conditions for a Feminist Politics of Knowledge Spy or Feminist: “Grrrila” Research on the Margin Marketing Social Change after Communism: the Case of Domestic Violence in Slovakia Life History as Narrative Subversion: Older Mexican Women Resist Authority, Assert Identity, and Claim Power About the Authors Subject Index
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 | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.650 | 0.609 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".