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Record W76638099

Colombian and Mexican youth migration and acculturation experiences: the shaping of identities in Metropolitan Vancouver

2012· dissertation· en· W76638099 on OpenAlexfundaboutno aff
Jesus Alejandro Hernandez-Ramirez

Bibliographic record

VenueSummit (Simon Fraser University) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsAcculturationMetropolitan areaGender studiesSociologyGeographyImmigrationPolitical scienceCriminologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This qualitative study explores the acculturation processes and the shaping of identities of 17 foreign-born Colombian and Mexican young adults living in Metropolitan Vancouver, aged 19 to 30 years. The research analyzed both participants’ acculturation processes in the education and employment spheres, and their related shaping of identities, mediated by their ethnicity and class locations. Using a mixture of subject-oriented oral histories and semi-structured interviews, the findings signal that participants shaped their identities based on oppositional but negotiable terms with a predominant Anglo-Canadian identity, as well as with a new developed Latino pan-ethnic identity, where class location played a significant role. Since Latin American immigrants constitute a young and rapidly growing visible minority group in Canada, and there is a few but growing literature focusing on this population, this research makes an important and timely contribution to our knowledge and understanding of youth, identities, and immigration in 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 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)0.001
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 score0.253
Threshold uncertainty score0.508

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.029
GPT teacher head0.267
Teacher spread0.238 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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