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Record W2898752254 · doi:10.3138/jcs.2017-0062.r2

“An Artist’s View of Tattooing”: Aba Bayefsky and the Tattoo Scenes of Toronto and Yokohama, 1978–86

2018· article· en· W2898752254 on OpenAlexvenueaboutno aff
Jamie Jelinski

Bibliographic record

VenueJournal of Canadian Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperGlobeNarrativePeriod (music)Visual artsHistoryArt historyMedia studiesArtSociologyLiteratureAestheticsPsychology

Abstract

fetched live from OpenAlex

This article investigates a series of tattoo-inspired artwork produced by Toronto-based artist Aba Bayefsky during the late 1970s and early 1980s. To do so, I draw heavily from archival documents that belong to the Aba Bayefsky fonds at Library and Archives Canada and newspaper articles published in the Toronto Star and the Globe and Mail. I reconstruct this period in the form of a historical narrative and use what I call a “tattoo scene” as a frame for my analysis. In doing so, I argue that by creating work that depicted members of the tattoo scene, Bayefsky merged disparate social and cultural groups and their respective visual cultures locally in Toronto and later transnationally between Toronto and Japan.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.963

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.272
Teacher spread0.225 · 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 teacher head, 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

Citations2
Published2018
Admission routes2
Has abstractyes

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