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Record W4310710350 · doi:10.1521/bumc.2022.86.4.316

Adaptation of movement decoupling for compulsive joint cracking: A case report

2022· article· en· W4310710350 on OpenAlex
Steffen Moritz, Yves Bellinghausen, Stella Schmotz, Danielle Penney

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

VenueBulletin of the Menninger Clinic · 2022
Typearticle
Languageen
FieldMedicine
TopicMusicians’ Health and Performance
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalDouglas Mental Health University Institute
Fundersnot available
KeywordsDysfunctional familyFeelingPsychologyRandomized controlled trialCrackingDecoupling (probability)MedicinePhysical medicine and rehabilitationPsychiatrySocial psychologySurgeryEngineering

Abstract

fetched live from OpenAlex

Compulsive joint cracking is a body-focused repetitive behavior (BFRB), which often results in negative social feedback due to its characteristic sound. While behavioral techniques are recommended in BFRBs, no published studies or case reports exist specifically for compulsive joint cracking. The authors report the case of DZ, who engaged in severe joint cracking of his knuckles and, at times, his back. The individual was assessed with an adapted version of the Generic BFRB Scale (GBS). DZ was instructed on how to perform decoupling, a technique that has shown efficacy in other BFRBs. He was also advised to use "fidget devices" that mimic aspects of the dysfunctional behavior in a less conspicuous way. Scores on the GBS were reduced by almost 50%, which corresponded with DZ's subjective appraisal of feeling more in control. Randomized controlled trials are needed to assess the (differential) efficacy these techniques to ameliorate compulsive joint cracking.

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)0.000
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: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.078
GPT teacher head0.340
Teacher spread0.263 · 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