MétaCan
Menu
Back to cohort
Record W4401228639 · doi:10.1177/09500170241254325

Bearing Psychic Weight and Accountability: Navigating Racism and Microaggressions in Creative Work

2024· article· en· W4401228639 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.

Bibliographic record

VenueWork Employment and Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of WaterlooQueen's University
Fundersnot available
KeywordsRacismPsychicAccountabilitySociologySituational ethicsWhite (mutation)Social psychologyNorm (philosophy)PsychologyGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article examines how Indigenous, Black, and people of colour (IBPOC) music industry workers navigate moments of racism and microaggressions. Through interviews with musical artists and industry workers ( N = 55), the article identifies two strategies for navigating situational acts of racism: alleviation and confrontation . Those choosing to alleviate reactions to racism express a psychic weight that stays with them, while those choosing to confront racism report that social accountability guides their actions. These strategies reveal both the persistence of and resistance to the music industry’s somatic norm – the corporeal baseline of whiteness against which non-White bodies are perceived and judged. They also result in a longer-term mental load that becomes constitutive of career advancement efforts.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.033
GPT teacher head0.326
Teacher spread0.292 · 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