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Record W2802450818 · doi:10.1080/13613324.2018.1468745

Teaching while Black: racial dynamics, evaluations, and the role of White females in the Canadian academy in carrying the racism torch

2018· article· en· W2802450818 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRace Ethnicity and Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRacismCritical race theorySociologyGender studiesWhite (mutation)StorytellingExposition (narrative)NarrativeCritical theoryPower (physics)Black PowerAestheticsLawPoliticsPolitical scienceLiteratureArt

Abstract

fetched live from OpenAlex

For racialized academics, life in the academy can be marred by racial violence that leaves them caught between their commitment to their craft, desire for educational attainment and development, and the mental anguish that can dominate their existence. Drawing from experiences of the author and other Black faculty members in Canadian tertiary academic institutions, I provide a theoretical exposition recognizing the role of narratives as an act of counter-storytelling. I draw upon Black feminist epistemology, critical race theory, and critical theory to examine how the experiences of Black academics remain under-theorized, marginalized, and often erased within 'strong/angry Black woman/man' caricatures. I highlight how racial evaluation filters reinforce racism and affects the careers of Black academics. I also discuss the role that White women, who are charged with decision-making power, have come to play in carrying the 'racism torch' in the academy while adhering to the tropes of innocence.

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.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.035
GPT teacher head0.407
Teacher spread0.372 · 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