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Record W6980239784

Black Girls Need Love Too: An intersectional analysis of the lived experiences of Black girls in French Immersion Programs

2024· other· en· W6980239784 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsIntersectionalityLived experienceNarrativeBlack womenBlack femaleBlack maleBlack feminismFrench immersionRacism
DOInot available

Abstract

fetched live from OpenAlex

Black girls in the French immersion program are silent scholars. They continue to remain under the radar, significantly under-researched and hidden behind the generalization of Black students without considerations for the intersectionality of race and gender. Using the narratives of four Black girls through semi-structured interviews, this thesis addresses this gap by exploring the lived experiences of four Black girls in Southern Ontario’s French immersion programs. By thematically analyzing their experiences using Black Canadian feminism, raciolinguistics, and intersectionality, we can critically assess their experiences and provide strategies to counter colonial institutions and policies. The findings reveal insights into their identities, sense of belonging, representation, and treatment, and how these themes impact their educational experiences. The experiences of these Black girls highlight several key areas for improvement and offer opportunities to enhance educational experiences for Black girls by informing more equitable policies and practices in the French immersion program.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.822
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0220.010
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)→Same topicStroke Rehabilitation and Recovery→French-language works237,207→