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Record W4212892611 · doi:10.4324/9781003009986-10

Art History's Co-Inhabitants

2022· book-chapter· en· W4212892611 on OpenAlexaboutno aff
Amanda Cachia

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

What are some disabled artistic approaches to indigeneity? This chapter examines the contemporary art practices of Oceanic artist Pelenakeke Brown, who resides in Aotearoa New Zealand, and Lenape and Potawatomi neuro-diverse artist Vanessa Dion Fletcher, who resides in Canada. Both artists have appropriated long held and respected practices tied to their Indigenous heritage through tatau and quillwork respectively in an attempt to establish a sense of place, a sense of cultural affinity, and a sense of who they are. Both artists have also used their unique disabled embodied knowledge to activate production of Indigenous traditions, customs and rituals, inspired initially through their mothers, and feminist guidance. They create their artwork through individual physical, cognitive and neuro-diverse capacities, be it through cerebral palsy or short-term memory loss, through choreography, space, time, and language. Their approaches posit disability as a methodology that frames the production of the work. In other words, disability perspective is an integral funnel or channel in the path to executing a final product or object. Their intersectional identities as disabled, Indigenous women are inextricably woven together. Brown and Dion Fletcher draw on their personal ties to these histories through multidisciplinary art forms.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.893
Threshold uncertainty score0.988

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9050.013

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 head0.095
GPT teacher head0.271
Teacher spread0.176 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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