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Record W4404018827 · doi:10.1080/09518398.2024.2416703

Community-school-university partnerships: possibilities for activism and racial justice

2024· article· en· W4404018827 on OpenAlexaffabout
Vidya Shah, Carl E. James, Camille Logan, Donna Cardoza

Bibliographic record

VenueInternational Journal of Qualitative Studies in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsYork University
Fundersnot available
KeywordsSociologyRacial biasEconomic JusticeSocial justicePedagogyGender studiesCriminologyRacismPolitical scienceLaw

Abstract

fetched live from OpenAlex

Critical school-community-university partnerships are central to activism for racial justice. Drawing on the scholarship of anti-racist activist leadership and community-school-university partnerships, this critical co-constructed auto-ethnographic comparative case study explores two such cases in Toronto, Ontario, Canada: the York University Faculty of Education Summer Institute (FESI) and the Nubian Book Club (NBC). As insiders-outsiders, the authors analyze various forms of data, such as informal observations, structured conversations between them, and program documents to understand the knowledges and possibilities that emerge in critical community-school-university partnerships and how leadership in these partnerships influence education for racial justice. Both cases resist, refuse, and subvert hegemonic educational discourses, legitimize fugitive and other marginalized knowledges, and imagine future possibilities for racial justice in schooling. This study concludes with recommendations for school districts, universities, and communities to engage in an activism-learning-action trifecta towards racial justice 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 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)0.004
metaresearch head score (Gemma)0.003
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 score0.053
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.350
GPT teacher head0.570
Teacher spread0.220 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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