Bibliographic record
Abstract
Over the past few decades, many young Japanese women have emerged as Japan’s most enthusiastic “internationalists,” investing in study or work abroad, or in romance with Western men as opportunities to circumvent what they consider their country’s oppressive corporate and family structures. Drawing on a rich supply of autobiographical narratives, as well as literary and cultural texts, Karen Kelsky situates this phenomenon against a backdrop of profound social change in Japan andwithin an intricate network of larger global forces. In exploring the promises, limitations, and contradictions of these “occidental longings,” Women on the Verge exposes the racial and erotic politics of transnational mobility. Kelsky shows how female cosmopolitanism recontextualizes the well-known Western male romance with the Orient: Japanese women are now the agents, narrating their own desires for the “modern” West in ways that seem to defy Japanese nationalism as well as long-standing relations of power not only between men and women but between Japan and the West. While transnational movement is not available to all Japanese women, Kelsky shows that the desire for the foreign permeates many Japanese women’s lives. She also reveals how this feminine allegiance to the West—and particularly to white men—can impose its own unanticipated hegemonies of race, sexuality, and capital. Combining ethnography and literary analysis, and bridging anthropology and cultural studies, Women on the Verge will also appeal to students and scholars of Japan studies, feminism, and global culture.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.018 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".