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Record W4361027443 · doi:10.3138/9781487548346-003

1. Contemporary Blackface in Canada as Performance of Antiblackness

2023· book-chapter· en· W4361027443 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsBlackfaceArtArt history

Abstract

fetched live from OpenAlex

1 Contemporary Blackface in Canada as Performance of AntiblacknessThis chapter introduces us to the findings of the study, by introducing us to the Black participants' reactions to blackface.It argues that they experience blackface as taking from them -specifically, as stealing their bodies and identities -and highlights their frequent references to slavery and other systems of historical racial violence to describe what they feel blackface does.Drawing on Saidiya Hartman's ( 2007) concept of the "afterlife of slavery," and building from her analysis of blackface minstrelsy in the United States, the chapter shifts the analysis of blackface from the limited terms of minstrelsy, representation, and stereotype within which it is usually discussed in the public sphere to one that offers a more precise framework for articulating its offence. The Offence of BlackfaceAs discussed in the introduction, this book has its beginnings in Black outrage at blackface, and my interest in the disturbing ways that it shows up in the context of postracialism.Of course, I am by no means the only Black person who is profoundly disturbed by contemporary blackface, and the Black participants in this study also speak of being disturbed by it.Most Black participants 1 I interviewed have an initial automatic negative reaction when they encounter blackface.This reaction varies in intensity.Some participants, like Gary at University 5, have a very strong negative reaction: "Like, you feel it almost spiritually, viscerally, 1 There were thirty-five Black participants in this study, only three of whose responses do not fit the pattern I am describing here.The exceptional cases will be discussed in Chapter 9.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.847
Threshold uncertainty score0.964

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 science0.0010.000
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 head0.232
Teacher spread0.199 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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