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Record W3199191476 · doi:10.18432/ari29602

Quilting Resistance to the Sleep Industrial Complex

2021· article· en· W3199191476 on OpenAlexaffvenue
Kristie Serota

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQuiltingMedicalizationNarrativeResistance (ecology)PleasureAestheticsSociologyConceptualizationPsychologyVisual artsPsychotherapistPsychiatryArtLiterature

Abstract

fetched live from OpenAlex

In this narrative account of sleeplessness, I draw on Ball’s (2002, 2012) poststructural conceptualization of quilts as social texts to explore the practice of quilting as a method of arts-based storytelling. Through the process of quilting, I story my experience of resisting the Sleep Industrial Complex. I explore the biocultural arena of sleep and critique the biomedical construction of sleeplessness as insomnia. I argue that the medicalization of sleeplessness works to support multi-billion-dollar industries that purport to cure insomnia through consumerism (Barbee et al., 2018; Williams, 2008). I describe how radically accepting sleeplessness as a facet of my existence, and not a medicalized disorder, is an expression of self-acceptance and an act of self-care. In this arts-based narrative account of sleeplessness, I mark the transition from viewing sleeplessness as a medical disorder to radically accepting sleeplessness as a natural facet of our complex being-in-the-world.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.025
Scholarly communication0.0050.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.301
GPT teacher head0.473
Teacher spread0.173 · 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 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

Citations0
Published2021
Admission routes2
Has abstractyes

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