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Record W2889572750 · doi:10.7202/1050681ar

‘We Got Our Quota’

2018· article· en· W2889572750 on OpenAlexvenueaboutno aff
Funké Aladejebi

Bibliographic record

VenueOntario History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamGender studiesSociologyPedagogyCritical race theoryIsolation (microbiology)Race (biology)Political scienceLaw

Abstract

fetched live from OpenAlex

Examining the oral histories of black women teachers, this article explores the ways in which black women’s workplace experiences in Ontario schools and, to a larger extent, broader Canadian society, influenced the development of their educational philosophies. Offering a critical lens towards Ontario’s education system, black female educators not only developed resistive pedagogies to cope with the isolation and discrimination they experienced as teachers, but also created strategies that allowed them to educate the children they were responsible to teach. These resistive pedagogies recognized and supported black experiences in Canada and were firmly rooted in their experiences as black women. By teaching black history within their classrooms, merging community uplift with schooling practice, and implementing strict guidelines and expectations for racialized students, black women worked to augment mainstream schooling practices to better serve students of various racial and cultural backgrounds.

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)0.005
metaresearch head score (Gemma)0.018
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: none
Teacher disagreement score0.740
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.017
Scholarly communication0.0060.007
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.006

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 head0.174
GPT teacher head0.366
Teacher spread0.192 · 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

Citations5
Published2018
Admission routes2
Has abstractyes

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