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Record W3107478804 · doi:10.1177/1367877920970962

Llamas are the new unicorns: Craft as competition television

2020· article· en· W3107478804 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Cultural Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsMcMaster UniversityWomen's and Gender Studies et Recherches FéministesSheridan College
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCraftReality televisionCompetition (biology)Context (archaeology)SociologyPoliticsNexus (standard)Media studiesAestheticsVisual artsAdvertisingPolitical scienceArtHistoryLawBusinessEngineeringArchaeology

Abstract

fetched live from OpenAlex

‘Making’ and crafting have been transformed into a reality TV competition, hosted by celebrities, with promotional tie-ins to other media and cultural products. As such, shows like Making It, Craft Wars , and Ellen’s Design Challenge define ‘craft’ according to particular logics familiar to reality TV programming, which highlight making as a competition in which contestants vie for cash prizes and honorific titles engaging with particular gendered logics of neoliberal markets and histories of ‘craft’. This article examines three craft TV shows to interrogate the nexus of craft and reality television and consider unstable and shifting meanings of these cultural phenomena. Craft, handmade and DIY invoke various competing politics; when imported into a reality TV context, craft continues to bring into play messy contradictions reflective of broader social anxieties and political economic climates.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.647
Threshold uncertainty score0.821

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)0.0010.000

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 head0.105
GPT teacher head0.320
Teacher spread0.215 · 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