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Record W3108082869 · doi:10.38055/fs030103

Affect and Sensation

2020· article· en· W3108082869 on OpenAlexvenueno aff
Ellen Sampson

Bibliographic record

VenueFashion Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
FundersBard Graduate Center, Bard College
KeywordsAffect (linguistics)ClothingEmbodied cognitionVisual artsNarrativeTRACE (psycholinguistics)AestheticsEthnographyPhoto elicitationSociologyPsychologyHistoryArtCommunicationComputer scienceLiteratureLinguisticsAnthropologyArchaeology

Abstract

fetched live from OpenAlex

“Affect and Sensation” brings together cyanotypes and text from the practice-based project “The Afterlives of Clothes” to explore the sensory and emotional effects of archival fashion research. Addressing the ways that imperfect garments make the absent bodies of those who used, made, and repaired them present for us, the works are a call to engage with the intricacies of wear, gesture, and trace. Initially developed during a fellowship at The Costume Institute of the Metropolitan Museum of Art and later a residency at Bard Graduate Centre, the broader project asks how, in a field where absent bodies and narratives are already understood as problematic, presenting the traces of use might re-contextualize objects which would otherwise be excluded from view. Focusing on accessories, objects which Jones and Stallybrass term “detachable parts” of the self (2001b: 116), the images and writing draw upon a methodology that combines archival research with auto-ethnographic writing, image, and filmmaking to explore the embodied and bodily experience of researching imperfect garments in museum archives. Presenting archives as repositories of affect, labour, emotion, and bodily trace, they ask how ideas of affect and containment might shed light on the encounter with archival garments. This project presents garments in archives as both containers and producers of affect — an affect that, in part, stems from the bodies that wore and made them, but also from the multiple meanings that they acquire through accession, storage, conservation, and display.

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 score0.457
Threshold uncertainty score0.258

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)0.0000.000

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 head0.177
GPT teacher head0.299
Teacher spread0.121 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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