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Record W2037512177 · doi:10.1068/a37410

Transnationalism, Gender, and Civic Participation: Canadian Case Studies of Hong Kong Immigrants

2006· article· en· W2037512177 on OpenAlexaffabout
Valerie Preston, Audrey Kobayashi, Guida Man

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsQueen's UniversityYork University
Fundersnot available
KeywordsTransnationalismCitizenshipImmigrationGender studiesPoliticsFamily reunificationContext (archaeology)SociologyEmigrationSettlement (finance)Political scienceGeographyLaw

Abstract

fetched live from OpenAlex

It is widely claimed that recent migration trends show increasing levels of transnational activity, but there is a need for a more detailed understanding of the relationship between transnationalism and citizenship participation, particularly from a gendered perspective. A study of immigrants from Hong Kong to Vancouver and Toronto, the largest group of immigrants to Canada in the period 1989 to 1997, shows that, although migration occurred in a context of anticipated political instability around reunification with the People's Republic of China, the most significant justification for emigration was to further the interests of the family, particularly children's education. Gender differences are subtle, but women tend to focus more strongly on family considerations, whereas men are somewhat more concerned with economic and political issues. Transnational activities focus around ties of family and friendship, rather than around political or economic ties. Women and men both seek formal rights of citizenship, and are beginning to express a desire for more participation in Canadian society. Contrary to theories of hypermobility among Hong Kong emigrants, transnationalism and citizenship participation are seen as a basis for settlement. Gendered approaches to transnationalism need to understand how the concept of citizenship, and citizenship participation, develops as a result of wider social relations that are structured differently for women and men.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.051
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.008
Science and technology studies0.0270.007
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.291
Teacher spread0.247 · 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

Citations49
Published2006
Admission routes2
Has abstractyes

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