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Record W4389677395 · doi:10.1515/9780889778207

#BlackInSchool

2021· book· en· W4389677395 on OpenAlexaboutno aff
Habiba Cooper Diallo

Bibliographic record

VenueUniversity of Regina Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

A young Black woman documents the systemic racism in her high school diary and calls for justice and educational reform. The prevalence of anti-Black racism and its many faces, from racial profiling to police brutality, in North America is indisputable. How do we stop racist ideas and violence if the very foundation of our society is built upon white supremacy? How do we end systemic racism if the majority do not experience it or question its existence? Do our schools instill children with the ideals of equality and tolerance, or do they reinforce differences and teach children of colour that they don’t belong?   # BlackInSchool is Habiba Cooper Diallo’s high school journal, in which she documents, processes, and resists the systemic racism, microaggressions, stereotypes, and outright racism she experienced in Canada’s education system.   Powerful and eye-opening, Cooper Diallo illustrates how our schools reinforce rather than erode racism: the handcuffing and frisking of students of colour by police at school; one-dimensional, tokenistic curricula portraying Black people; and the constant barrage of overt racism from students and staff alike. She shows how systemic racism works, how it alienates and seeks to destroys a child’s sense of self. She shows how our institutions work to erase the lived experiences of Black youth and try to erase Black youth themselves.   Cooper Diallo’s words will resonate with some, but should shock, appall, and animate a great many more into action towards a society that is truly equitable for all.  

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.204
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.039
GPT teacher head0.254
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes1
Has abstractyes

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