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Record W2074126877 · doi:10.1002/ch.291

Hypnotic deafness: a cross‐paradigm analysis

2004· article· en· W2074126877 on OpenAlexaff
Arthur H. Perlini, Raymond A. Johns, Patricia L. Van Hoof

Bibliographic record

VenueContemporary Hypnosis · 2004
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsAlgoma UniversityLaurentian University
Fundersnot available
KeywordsHypnosisPsychologyAudiologyTest (biology)CognitionCognitive psychologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

Abstract This study compared responses to a deafness suggestion amongst subjects administered one of three conditions: hypnosis and suggestion (i.e. reals), simulating instructions (i.e. simulators), or the suggestion alone without hypnosis (i.e. cognitives). Reals and simulators were administered a hypnotic induction, followed by a unilateral, left‐ear deafness suggestion and the cognitive group was given the unilateral deafness suggestion without a hypnotic induction. All subjects were administered the Stenger Test of Audition (Stenger, 1907) during the deafness trial, and again on a final post‐deafness trial. The Stenger Test is designed to assess the degree and veracity of deafness reports. Reported changes in deafness levels were indistinguishable amongst high‐reals, low‐cognitives and high‐cognitives; all three of these groups reported lower levels of deafness compared to the simulating group. The latter demonstrated a pattern of response consistent with faking deafness, a response for which the Stenger Test is designed to measure. The findings lend support to the hypothesis that deafness does not uniquely characterize highly suggestible hypnotized subjects. In addition, the differences between reals and simulators reflect contextual demands on real subjects to report their deafness experience accurately. Copyright © 2004 British Society of Experimental and Clinical Hypnosis

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.062
GPT teacher head0.300
Teacher spread0.237 · 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 designObservational
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
Published2004
Admission routes1
Has abstractyes

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