MétaCan
Menu
Back to cohort
Record W4401741201 · doi:10.1515/9789888268658

Locating Chinese Women

2021· book· en· W4401741201 on OpenAlexaboutno aff
Kate Bagnall, Julia Martı́nez

Bibliographic record

VenueHong Kong University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

This ground-breaking edited collection draws together Australian historical scholarship on Chinese women, their gendered migrations, and their mobile lives between China and Australia. It considers different aspects of women’s lives, both as individuals and as the wives and daughters of immigrant men. While the number of Chinese women in Australia before 1950 was relatively small, their presence was significant and often subject to public scrutiny. Moving beyond traditional representations of women as hidden and silent, this book demonstrates that Chinese Australian women in the twentieth century expressed themselves in the public eye, whether through writings, in photographs, or in political and cultural life. Their remarkable stories are often inspiring and sometimes tragic and serve to demonstrate the complexities of navigating female lives in the face of racial politics and imposed categories of gender, culture, and class. Historians of transnational Chinese migration have come to recognize Australia as a crucial site within the ‘Cantonese Pacific’, and this collection provides a new layer of gendered comparison, connecting women’s experiences in Australia with those in Canada, the United States, and New Zealand.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.136
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0120.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.003

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 head0.016
GPT teacher head0.221
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueHong Kong University Press eBooksSame topicJapanese History and CultureFrench-language works237,207