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Record W7132873684

Parent Engagement and Schooling: Examining Black Parents' Experiences in the Greater Toronto Area

2018· dissertation· W7132873684 on OpenAlexafffundabout
Desiree Fleure Sylvestre

Bibliographic record

VenueTSpace · 2018
Typedissertation
Language
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsCanadian Association for the Study of Adult Education
FundersOffice of International Science and EngineeringUniversity of Toronto
KeywordsRace (biology)NarrativeCritical race theoryStudent engagementPublic engagementQualitative researchAfrican americanRacism
DOInot available

Abstract

fetched live from OpenAlex

Within the dominant discourse, Black parents have been positioned as disinterested in the school system, their involvement analyzed from a deficit approach, and barriers to their engagement not fully examined. This research utilized Critical Race Theory (CRT) and Culturally Responsive Pedagogy (CRP) to examine the engagement of three Black parents in the Greater Toronto Area, their experiences navigating the school system, the challenges and tensions they experienced, and the strategies they employed. The study used a narrative inquiry approach to examine and explore their experiences. The findings reveal that Black parents, contrary to the dominant discourse, are advocates for their children. The study also highlights the significance of race in the relationship of Black parents with schools, and the ways in which this impacts their engagement. The findings of this study will be important to teachers, teacher education programs, school leaders, administrators and all stakeholders in education.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.539
Threshold uncertainty score0.918

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.217
GPT teacher head0.451
Teacher spread0.234 · 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
Published2018
Admission routes3
Has abstractyes

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