MétaCan
Menu
Back to cohort
Record W2035692381 · doi:10.1080/00207140903310865

Hypnotizability and Opinions About Hypnosis in a Clinical Trial for the Hypnotic Control of Pain and Anxiety During Pregnancy Termination

2009· article· en· W2035692381 on OpenAlexafffund
Alexandra Dufresne, Pierre Rainville, Sylvie Dodin, Patrick Barré, Benoı̂t Mâsse, René Verreault, Isabelle Marc

Bibliographic record

VenueInternational Journal of Clinical and Experimental Hypnosis · 2009
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsUniversité de MontréalUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsHypnosisHypnoticPsychologyAnxietyHypnotic susceptibilityPregnancyPsychotherapistPain controlSuggestibilityClinical psychologyAnesthesiaDevelopmental psychologyPsychiatryAlternative medicineMedicine

Abstract

fetched live from OpenAlex

This descriptive study evaluates the hypnoanalgesic experience's effect on participants' hypnotizability and opinions about hypnosis and identifies factors associated with hypnotizability. Hypnotizability was assessed using the Stanford Hypnotic Susceptibility Scale: Form A in 290 women 1 month after their participation in a randomized clinical trial evaluating hypnotic intervention for pain/anxiety versus standard care during pregnancy termination. Opinions were collected before and after the intervention. The regression model describing hypnotizability (F = 13.55; p < .0001; R(2) = 0.20) retained 5 variables but not the intervention group. The variable explaining most of total variance (62.9%) was the level of perceived automaticity/involuntariness. Opinions about hypnosis were modified by the hypnotic experience compared to standard care but were not associated with hypnotizability. Exposure to hypnoanalgesia did not influence hypnotizability but modifies significantly the opinions about hypnosis. Consistent with previous findings, perceived automaticity appears to best predict hypnotizability.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
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 head0.070
GPT teacher head0.423
Teacher spread0.353 · 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 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

Citations18
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Clinical and Experimental HypnosisSame topicPain Management and Placebo EffectFrench-language works237,207