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Record W4405631748 · doi:10.28998/rm.2023.13.14022

Desajustados no mundo: mudança cultural através de práticas culturais aleijadas

2023· article· pt· W4405631748 on OpenAlexaff
Eliza Chandler, Lisa East, Carla Rice, Rana El Kadi

Bibliographic record

VenueRevista Mundaú · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsUniversity of GuelphToronto Metropolitan University
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Baseadas na nossa participação em artes S/surdas, deficientes e loucas da América do Norte (Ilha Tartaruga), este artigo apresenta e explora como as “práticas culturais aleijadas”, práticas culturais nascidas da cultura da deficiência que centralizam as pessoas com deficiência e nossa política, contribuem para atos de construção de mundos. Começamos com uma descrição de como os primeiros dias da pandemia serviram como uma disrupção cultural que nos desafiou a pensar sobre como nos reunimos nas artes e na cultura. Em seguida, oferecemos uma breve revisão de como os estudos sobre deficiência e o ativismo sobre deficiência criticam a normalidade. Considerando como as organizações artísticas e culturais responderam às medidas de saúde pública da Covid-19, argumentamos que o setor falhou amplamente em buscar a “sabedoria aleijada” (Lakshmi Piepzna-Samarasinha, 2016), impedindo a transformação de práticas pandêmicas temporárias em práticas culturais aleijadas sustentáveis. Terminamos com alguns exemplos-chave que demonstram como as práticas culturais aleijadas gesticulam em direção a mundos aleijados necessários para a sobrevivência das pessoas com deficiência.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

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 studies0.0210.025
Scholarly communication0.0160.007
Open science0.0010.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.055
GPT teacher head0.350
Teacher spread0.295 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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