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Record W4229063029 · doi:10.3138/cjhh.461-072020

Insomnia, Medicalization, and Expert Knowledge

2022· article· en· W4229063029 on OpenAlexaff
Kenton Kroker

Bibliographic record

VenueCanadian Journal of Health History · 2022
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsYork University
Fundersnot available
KeywordsMedicalizationObject (grammar)InsomniaPublic healthIntervention (counseling)PhenomenonBiomedicineSociologyMedicinePsychiatryPsychologyEpistemologyNursingComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Historians have clearly articulated the ways in which sleeplessness has long been part of the human condition. As an object of medical expertise and public health intervention, however, insomnia is a much more recent invention, having gained its status as a pathology during the 1870s. But while insomnia has attracted considerable and concerted attention from public health authorities allied with sleep medicine specialists, this phenomenon is not well explained by classical medicalization theory, in part because it is the sleepless sufferers, not the medical experts, who typically have the authority to diagnose insomnia. The dynamics of insomnia's history are better described as those of a boundary object, around which concepts and practices of biomedicine and psychology coalesce to frame contemporary notions of self-medicalization and self-experiment.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.923
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.063
GPT teacher head0.347
Teacher spread0.285 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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