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Record W1590514800

Gendered Home and Space for the Diaspora: Gish Jenââ¬â¢s Typical American

2004· article· en· W1590514800 on OpenAlexvenueno aff
Lan Dong

Bibliographic record

VenueThirdspace · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaGender studiesSpace (punctuation)BrotherWifeSociologySisterNegotiationRace (biology)GeopoliticsAnthropologyGenealogyHistoryPolitical scienceSocial sciencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

This article explores the strategy of three first-generation male and female Chinese American characters in their reconstruction of home and space (domestic, communal, and social) in the U.S. from the late 1940s to the 1960s in Gish JenA¢â‚¬â„¢s novel A¢â‚¬ Typical American (1991). The discussion is focused on how JenA¢â‚¬â„¢s novel conflates space, culture, and gender relations through the experiences of the Chinese diaspora that crosses geopolitical, national, and cultural borders. Drawing upon critical perspectives in Asian American studies and feminist geography, this article examines how these diaspora men and women negotiate a new space between their A¢â‚¬A“native cultureA¢â‚¬Â and the A¢â‚¬A“host societyA¢â‚¬Â in response to their displacement based on gender and race, when their respective spatiality is crisscrossed with their unceasingly adjusted relations with one another A¢â‚¬ as husband and wife (Ralph and Helen) and as brother and sister (Ralph and Theresa).

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0120.006
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.299
Teacher spread0.269 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations2
Published2004
Admission routes1
Has abstractyes

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