Bibliographic record
Abstract
Gender, Race, and Nation: A Global Perspective, edited by Vanaja Dhruvarajan and Jill Vickers (Toronto: University of Toronto Press, 2002) As Vanaja Dhruvarajan, Jill Vickers, and three contributing authors make clear in Gender, Race and Nation: A Global Perspective, the field of gender studies has changed dramatically over the last two decades. The authors contributing to this edited volume devote substantial time to targeting Western feminist studies for fostering narrow, homogeneous conceptions of gender. Gender as studied in the past centered on a perspective assuming common interests and feminist goals while ignoring the multiplicity of voices and experiences of women around the world. Today, as the authors emphasize, it is vital not only to understand the differences that exist among women but also to acknowledge the types of hierarchies that are built into institutional structures and perpetuate and legitimate inequalities for women in their various contexts and locations. The authors seek to use the study of difference as a source of learning and understanding and as a point of challenge from which to unlock assumptions concerning experiences and histories in order to move progressively forward toward a more diverse and inclusive view of women and their lives. The chapters expand and confront the way gender is studied by offering a one-world theoretical perspective from which to study gender. Although this might sound like a paradoxical approach for the study of diversity, the one-world framework used throughout the text challenges former generalizations surrounding women and seeks to make the diverse lives of women the focus, while integrating the connections between race and nation and gender. The book draws attention to Amrita Basu's work (1995) highlighting how women's within and across nations are shaped by a complex amalgam of national, racial, religious, ethnic, class and sexual identities (4). The one-world approach, therefore, represents a much-needed paradigm shift, challenging past scholarly tendencies to singularize movements and activities. The authors in this volume contribute to Chandra Mohanty's (1991) critique of mainstream feminist scholarship by calling upon scholars and practitioners conducting empirical research on gender to break down the universal and show the heterogeneity of women, to move beyond categories predicated as natural, and to understand the categories of difference as relational. …
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".