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Record W1981496155 · doi:10.1080/01639620802050254

chiropractors as folk devils: published and unpublished news coverage of a moral panic

2009· article· en· W1981496155 on OpenAlexaboutno aff
Yvonne Villanueva-Russell

Bibliographic record

VenueDeviant Behavior · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsnot available
Fundersnot available
KeywordsMoral panicCONTESTChiropracticPanicNarrativeContext (archaeology)Stigma (botany)PsychologyCriminologySocial psychologyAlternative medicineMedicinePolitical sciencePsychiatryHistoryLawLiteratureArtAnxiety

Abstract

fetched live from OpenAlex

This research provides empirical support for an existing processual model, documenting the social context, development, and growth of a moral panic surrounding stroke risk from chiropractic neck manipulation. This case highlights the importance of both published and unpublished news stories regarding the nature of claims that evolve over time and in specific stages of a moral panic. Chiropractic's status as deviant science as well as underlying professional tensions within the Canadian health care system sets up a narrative stigma contest and affects the information made available to the public about issues of safety and health.

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)0.009
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.079
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0070.008
Scholarly communication0.0100.004
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.028
GPT teacher head0.320
Teacher spread0.292 · 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.

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

Citations9
Published2009
Admission routes1
Has abstractyes

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