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Record W2948263341 · doi:10.26512/vis.v16i2.20660

Eu Cabelo Você

2017· article· pt· W2948263341 on OpenAlexaff
Yoriko Gillard

Bibliographic record

VenueRevista VIS Revista do Programa de Pós-Graduação em Arte · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsCapilano UniversityUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesArtPsychology

Abstract

fetched live from OpenAlex

Este artigo explora os cabelos humanos como um meio artístico. Venho questionando a relação de confiança e a dinâmica de poder entre quem corta o cabelo e aquele que recebe o corte de cabelo. Esta situação reflete nossas interações da vida diária de várias maneiras, particularmente entre profissionais e não profissionais, como artistas e não artistas e professores e alunos. Descobri que, para construir uma relação recíproca confiável, ambos os lados devem fazer um esforço paraentender as mentes dos outros. Este artigo inclui fotos da performance de cabelo e poesia para apresentar minhas investigações baseadas em artes para ajudar a entender esse relacionamento humano.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0070.002
Scholarly communication0.0670.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.046
GPT teacher head0.296
Teacher spread0.249 · 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
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
Published2017
Admission routes1
Has abstractyes

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