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Record W3021156250 · doi:10.1386/cc_00015_1

Learning punk through its products: Combining fashion merchandising practices and pedagogy to develop a subculture of resistance

2019· article· en· W3021156250 on OpenAlexaboutno aff
Monica Sklar, Caroline Helfgott, Farah Kitchens

Bibliographic record

VenueClothing Cultures · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPunkEthosSubculture (biology)SociologyClothingPerspective (graphical)Consumption (sociology)Resistance (ecology)AestheticsMedia studiesAdvertisingVisual artsArtSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Punk is a lifestyle, ethos and perspective that deals with social unrest and personal discontent. Learning models are applied as framework in this research to contemplate how punk is learned and enacted as a lifestyle by going through daily fashion merchandising and social practices, such as how punks engage with artefacts and the rules of their scene. The punk subculture uses a pedagogy to their fashion production and consumption, employing the garments of their sartorial style with community interactions to create and symbolize their ethos. The community interacts in unision as newcomers to the scene learn from established participants, take in the knowledge available to them, and shift to self-produced ideas to develop their individualized punk ethos. This study used qualitative online surveys, in-person interviews and social media discussions from self-identified punks in the United States and Canada, as well as archival visits to punk-themed collections in order to analyse the experience of individuals who produce, consume and communicate their punk ethos through their garments.

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)0.001
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 score0.867
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.305
Teacher spread0.256 · 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
Published2019
Admission routes1
Has abstractyes

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