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Record W6999321193

Chosen Family Values: Examining the Creative Practices of Kiera Boult, Madelyne Beckles, Kalale Dalton-Lutale and Cason Sharpe

2021· other· en· W6999321193 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAutoethnographyConversationIntersectionalityPerspective (graphical)Black BritishLived experienceCreativityKinship
DOInot available

Abstract

fetched live from OpenAlex

This major research paper presents an autoethnographic account of the cultural production: performances, plays, video, poetry, short stories, Instagram takeovers and lived experiences of Black biracial Canadian artists Madelyne Beckles, Kalale Dalton-Lutale, Kiera Boult, and Cason Sharpe. Putting these artists in conversation with one another serves to connect and archive a creative community and moment by way of shared identities, and shared stylistic, generational, and critical vocabularies. The thread that runs throughout their works is a critical framework informed by Black thinkers and perspectives encompassing Black art and artists, feminism, queerness, pop culture, class consciousness, and intersectionality stemming from a distinctly Canadian context. As a commemoration of kinship and as a contribution to the current discourse of contemporary Canadian art, this paper makes a case for how their creative practices speak from and about a unique, intersectional perspective and make a significant contribution to the Canadian art landscape.

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)0.004
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0500.024
Scholarly communication0.0090.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.149
GPT teacher head0.356
Teacher spread0.207 · 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
Published2021
Admission routes1
Has abstractyes

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