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Elucidating Tourette's Syndrome: Perspectives from Hypnosis, Attention and Self-Regulation

2007· article· en· W2141296333 on OpenAlex
Amir Raz, Shari Keller, Kim L. Norman, Diana Senechal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Clinical Hypnosis · 2007
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsVancouver Coastal Health Research InstituteVancouver Coastal Health
Fundersnot available
KeywordsHypnosisTourette syndromePsychologyNeurosciencePsychotherapistCognitive psychologyMedicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

Biological psychiatry favors drug treatment over non-pharmacological intervention and shapes the way clinicians both treat and understand Tourette's Syndrome (TS). However, drug treatments for TS involve side effects and are potentially toxic to the central nervous system. Moreover, current pharmacological treatments are largely ineffective and at best only provide a modest symptom reduction. In this paper, we describe how non-pharmacological treatments such as focused attention can modulate, reduce, or indeed entirely eliminate the symptoms of TS as well as elucidate the underlying neural mechanisms. Showing that the symptoms of TS are susceptible to self-regulatory interventions such as hypnosis, we propose that attentional training could be used to both treat the disorder and better understand it.

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.

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)0.001
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 score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.368
Teacher spread0.351 · 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