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Record W2055850875 · doi:10.1080/14649360802175709

‘Astronaut families’: transnational lives of middle-class Taiwanese married women in Canada

2008· article· en· W2055850875 on OpenAlexaboutno aff
Lan‐Hung Nora Chiang

Bibliographic record

VenueSocial & Cultural Geography · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationEthnographyParticipant observationMiddle classGender studiesSociologyCensusEconomic growthPopulationPolitical scienceDemographySocial science

Abstract

fetched live from OpenAlex

Despite increasing interest in the study of Taiwanese migrants, the underlying concept and methodology remain gender-blind. Invisible from the Census are the women who emigrated with their husbands, leaving behind their adopted country to make a living elsewhere. Most of the ‘astronaut wives’ studied in this research are middle-class women who had careers in Taiwan prior to emigration, but became full-time home-makers upon arrival in Canada, the host country. The major questions raised for this research are: (1) What are the circumstances of migration for Taiwanese families? (2) How do Taiwanese ‘dan qi ma ma’/‘astronaut wives’ cope with the challenges of the new environment? (3) How do they relate to their husbands, children, and the Taiwanese community during the process of adaptation? Thirty women from ‘astronaut’ families were interviewed in Toronto and Vancouver in 2005 and 2006, using a semi-structured questionnaire, ethnographic interviews, and participant observation methods. It was found that migration has not liberated them from the traditional familial roles in Taiwan, but has however enabled them to build new social networks that play an important role in their new lives.

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)0.002
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 score0.059
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.004
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.240
Teacher spread0.224 · 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

Citations132
Published2008
Admission routes1
Has abstractyes

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