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Record W4253675904 · doi:10.4324/9780203888810

Sex, Love and Feminism in the Asia Pacific

2008· book· en· W4253675904 on OpenAlexaboutno aff
Chilla Bulbeck

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismGender studiesAsia pacificSociologyEthnology

Abstract

fetched live from OpenAlex

‘Sex, love and feminism’ are three aspects of the rapidly changing gender relations that shape young people’s lives in the Asia Pacific region. Much has been written about rapidly changing countries in Asia, most recently China and India. With the global spread of capitalist production and neo-liberal ideologies, the claim that the rest of the world’s women are treading the path to enlightenment and development forged by women in the West has been revived. This book explores that contention through a comparative analysis of the attitudes of young middle class urbanites in ten countries: the USA, Australia, Canada, Japan, Thailand, South Korea, India, Indonesia, China and Vietnam. Drawing on detailed empirical research, the study describes and compares attitudes towards the women’s movement, sexual relations and family arrangements in the countries considered. It explores young peoples’ image of feminists and what they feel the women’s movement has achieved for women and men in their country. The book discusses young people’s attitudes to controversial gender issues such as role reversal, sharing housework, abortion rights, same sex sexual relations, nudity and pornography. Through a comparative analysis of the gender vocabularies by which young people understand gender issues, the book highlights the role of differences in history, culture, economics and political leadership. These influence attitudes to gender relations, the status of women and the political programs of the women’s movement in different countries. Whilst there are striking parallels between countries and even across the whole sample, those similarities do not fall neatly into a simple dichotomy of the ‘west versus the rest’.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.128
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.258
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations3
Published2008
Admission routes1
Has abstractyes

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