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Record W2610348256 · doi:10.1080/17525098.2017.1300354

Queer-friendly nation? The experience of Chinese gay immigrants in Canada

2017· article· en· W2610348256 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueChina Journal of Social Work · 2017
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsToronto Metropolitan UniversityAIDS Committee of TorontoRegent Park Community Health CentreYork University
FundersOntario HIV Treatment Network
KeywordsImmigrationGender studiesChinaQueerSociologyTransformative learningChinese americansConstruct (python library)NarrativePolitical scienceLaw

Abstract

fetched live from OpenAlex

In the past decade, the People’s Republic of China has become the leading source country of immigrants to Canada. However, little is known about the experience of Chinese gay immigrants in Canada. Using narratives collected through a qualitative study, we show the way in which Chinese gay men construct their experience of immigration in Canada. Unlike the national discourse that claims Canada is a friendly nation for members of the LGBTTQ community, the experiences of Chinese gay immigration present a different story. As racialised gay men, they continue to be subjected to social violence in Canada – albeit differently from what they experienced in China. The analysis demonstrates the complexity of social marginalisation experienced by these men, the understanding of which is essential for social workers to engage in practice with them that is socially transformative.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.515

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.362
Teacher spread0.341 · 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