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Record W1535465416 · doi:10.2307/25606124

Portuguese Women in Toronto: Gender, Immigration, and Nationalism

2003· article· en· W1535465416 on OpenAlexvenueaboutno aff
M. Gabriela Torres, Wenona Giles

Bibliographic record

VenueAnthropologica · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPortugueseNationalismGender studiesPolitical scienceSociologyHistoryGeographyEthnologyPoliticsArchaeologyLinguisticsLaw

Abstract

fetched live from OpenAlex

Wenona Giles takes a new look at migration in this innovative study of Portuguese women by examining the gender, class, and race relations of the immigrant Portuguese population from the micro level of personal experience to the macro level of the long-lasting societal repercussions of immigrant status and welfare on their children. Comparing across two generations of Portuguese Canadian women, the book delves into issues such as cultural heterogeneity among Portuguese immigrants, the ambiguity of work and gender politics, the concept of 'home' versus nationalism, and raises concerns about the ways in which global political and economic inequities have affected Portuguese women's citizenship. Drawing on over sixty interviews with Portuguese immigrants and community workers in Toronto, Giles weaves theoretical perspectives around direct quotes to provide a complete picture of the Portuguese immigrant experience. Her case study of Portuguese women sheds new light not only on Portuguese immigrants to Canada, but also on Canadian nationalism, immigration, and multicultural policies, and their connection with national and global economic situations, that affect all immigrants to Canada.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.992

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.018
GPT teacher head0.299
Teacher spread0.281 · 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.

Study designTheoretical or conceptual
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

Citations29
Published2003
Admission routes2
Has abstractyes

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