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Record W4386010762 · doi:10.1080/23793406.2023.2249904

“Do white parents feel the same?”: Latin American and Black Caribbean parents fighting for participation in partnership-oriented education

2023· article· en· W4386010762 on OpenAlexaffabout
Henry Parada, Laura Perez Gonzalez, Veronica Escobar Olivo

Bibliographic record

VenueWhiteness and Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsLatin AmericansGeneral partnershipWhite (mutation)NegotiationGender studiesSociologyCritical race theoryQualitative researchBattlePolitical scienceRacismPedagogySocial scienceLawGeography

Abstract

fetched live from OpenAlex

The present article sought to explore how Latin American and Black Caribbean parents experience and navigate the measures of school-parent partnership expected of them in the Ontario education system. Based on qualitative interviews with a total of 32 Latin American and Black Caribbean parents, this study found that parents must constantly negotiate being recognised as equal partners in their child’s learning by both schools and educators. Using Critical Race Theory (CRT) and Bourdieu’s concept of cultural capital, the study examined how Whiteness is embedded within the Ontario education system and the uphill battle racialised parents faced when interacting with the system. The study ultimately found that Latin American and Black Caribbean parents were required to work harder to strategically navigate the education system in ways White parents did not in order to be involved in their child’s education. Even then, their children might still face continuous disadvantages.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.068
GPT teacher head0.394
Teacher spread0.326 · 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 designObservational
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

Citations2
Published2023
Admission routes2
Has abstractyes

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