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Record W4392568153 · doi:10.1386/scene_00059_1

Everyday divine: Fashion, ritual and identity transformation

2023· article· en· W4392568153 on OpenAlexaff
Megan K. Hughes

Bibliographic record

VenueScene · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIdentity (music)Transformation (genetics)AestheticsArtSociologyCommunicationBiology

Abstract

fetched live from OpenAlex

As the world experiences the end of the COVID-19 pandemic lockdown era, I have been conducting a project that investigates the function and meaning of the creative making process. Using the steps to making as the research focus, I ask: why does designing and crafting feel and function like a change-making ritual, more than a routine? What evidence of the metamorphic energy of making lies within each finished creation? Through a review of other scholars’ work, from fields including ritual study, psychology, art and pedagogy, I began to understand the process of creation, and how it can promote positive transformation. Most important of all is the transformation of materials, ideas and inspiration into millinery. To begin, I found that the art of creative research propels the maker into a liminal stew of ideas and actions, where only the forces for and against the act of making are evident. The choices of materials and applications gather increasingly on the studio table, and the question of the meaning behind the process grows curiously deeper…

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)0.003
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.029
Scholarly communication0.0130.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.262
Teacher spread0.224 · 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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