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Record W4399970217 · doi:10.1386/adch_00084_1

From object to objectified: The ongoing precarity of Black bodies in institutional spaces

2024· article· en· W4399970217 on OpenAlexaff
I.H. Jones

Bibliographic record

VenueArt Design & Communication in Higher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrecarityObject (grammar)SociologyAestheticsGender studiesArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This article examines the precarity of Black bodies in institutional spaces, particularly the detrimental impact on the career of the Black arts practitioner. Ongoing systemic discrimination within institutional sites, as experienced by Black artists, scholars and curators, can be traced to the problematic historical relationship of the Black body to the exhibitionary complex. The continued performative spectacularization of Blackness in institutional settings, as in the cases of Artists Space in 1979 and the Nova Scotia College of Art and Design in 2021, highlights the difficulty for Black professionals invested in decolonial work to unsettle this misrepresentation without the risk of repercussions. In each case study, institutional responses to claims of racial discrimination illuminate their negation of the Black experience and the consequence to Black practitioners of questioning and activating against systemic inequities within these sites. To address the topic in an honest and scholarly manner, this article includes references to histories of colonial violence, as well as examples of harmful racial slurs exacted in response to the concerns of Black practitioners. In so doing, this article is an act of decentring imperialist research methods’ and engages an alternative method for exploring deeply sensitive narratives in a rigid institutional structure.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.086
GPT teacher head0.370
Teacher spread0.284 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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