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Record W601044192 · doi:10.71781/21611

Ethnic Identity and School Ambition : the Case of Second Generation Youth from a Latin-American Background in Montreal

2014· dissertation· en· W601044192 on OpenAlexaboutno aff
Fabiana Diaz

Bibliographic record

VenueOpen MIND · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupIdentity (music)Latin AmericansGender studiesPolitical scienceSociologyAnthropologyArtLawAesthetics

Abstract

fetched live from OpenAlex

Ce mémoire propose d’étudier l’articulation entre l’identité ethnique (à l’adolescence) et l’ambition scolaire – ici définie comme l’ensemble des motivations, des moyens de persévérance et du niveau scolaire – notamment à travers les concepts d’assimilation et de la résistance culturelle (McAndrew 2008). Nous nous intéressons aux jeunes issus de l’immigration latino-américaine à Montréal. Il s’agit d’une analyse qualitative, plus précisément d’analyse de discours qui nous a permis de comprendre comment leurs expériences et leurs représentations des Latinos et des Québécois influencent leur identification ethnique ainsi que leurs perceptions et décisions en milieu scolaire. Les résultats de cette étude démontrent que l’identification ethnique, en corrélation avec le statut socio-économique et le genre, semble être liée à l’ambition scolaire. Malgré une certaine confirmation de la relation classique entre statut socio-économique et niveau de scolarité, les discours des participants ont permis de faire ressortir une particularité ethnique susceptible de contribuer à expliquer le choix de continuer aux études supérieures. Cet impact est plus important chez les jeunes femmes de notre échantillon; celles avec le niveau de scolarité le moins élevé, ont un statut socio-économique moindre et s’identifient davantage à la culture latino, en contraste avec celles les plus éduquées ayant aussi un statut socio-économique supérieur et qui s’identifiaient davantage à la culture québécoise.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.103
GPT teacher head0.397
Teacher spread0.294 · 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 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
Published2014
Admission routes1
Has abstractyes

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