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Record W3211302121 · doi:10.1080/15348431.2021.1996366

“I Just Want to Belong Somewhere”: Latinx Youth’s Experiences in the Education System in Ontario, Canada

2021· article· en· W3211302121 on OpenAlexafffundabout
Henry Parada, Veronica Escobar Olivo, Fabiola Bravo

Bibliographic record

VenueJournal of Latinos and Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyGender studiesMedia studiesPsychology

Abstract

fetched live from OpenAlex

Latino Critical Theory (LatCrit) posits that the invisibility of the Latinx identity in conversations surrounding race and ethnicity leads to an inability for Latinxs to identify, conceptualize, and verbalize their unique experience. This article explores Latinx youth’s experiences in Ontario’s education system and their invisibility throughout their educational journey. Based on qualitative interviews and focus groups with a total of 60 Latinx youth (aged 16 to 26), this study found that Latinx students do not see themselves represented by teachers and peers. Latinx youth struggled with situating their sense of community within the education system and the broader Canadian context, which impacted their identity as Latinx-Canadians. The findings also showed that a lack of exposure and widespread recognition of the Latinx community by peers, teachers, and other stakeholders in positions of power create racially insensitive environments for students. Youth shared that they experienced a sense of placelessness, wherein they could not fully belong in a single space.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.147
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.026
GPT teacher head0.326
Teacher spread0.300 · 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.

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

Citations9
Published2021
Admission routes3
Has abstractyes

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