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Record W6980282584

Black Visuality in Canada Through the Decolonial Option: A Sociogenic Account of the Work of Jorian Charlton

2022· dissertation· en· W6980282584 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionPraxisCabinet (room)Relation (database)Contemporary artHegemonyBlack BritishIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

This thesis is concerned with the production of Black Canadian identity through photographic portraiture and the family photo album. By focusing on the 2021 exhibition Out of Many and the artistic practice of Toronto-based photographer Jorian Charlton, I argue that these images transcend time and break through hegemonic barriers in visual politics to present a more complex Black Canadian identity. I consider the Out of Many exhibition in relation to three additional exhibitions that focus on Black documentary photography: the Art Gallery of Ontario’s Fragments of Epic Memory (2021), Carrie Mae Weems’ The Kitchen Table Series (1990), and Theater Gates’ installation Facsimile Cabinet of Women Origin Stories (2019). I examine Jorian Charlton’s oeuvre and each exhibition as a form of praxis through counter-hegemonic images that generate a Black visuality that is grounded in decolonial thought, the fluidity of identity, and a critical awareness of aesthetics.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.110
Threshold uncertainty score0.797

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0580.040
Scholarly communication0.0110.003
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.023
GPT teacher head0.239
Teacher spread0.216 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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