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Treating Visual Somatic Sensory Obsessional Doubt with Inference-Based Cognitive Behavioral Therapy: A Case Study

2024· preprint· en· W4402303921 on OpenAlexaff
Stephanie Woodrow, Susan Wagner, Maryam Khatami, Frederick Aardema

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsInferenceCognitive behavioral therapyPsychologyCognitionCognitive psychologySensory systemNeuroscienceArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

Visual Tourettic OCD (VTO), also referred to as “Staring OCD”, is a symptom presentation that is characterized by a fear of staring at other people’s genitals or private body parts. Those with VTO also often experience somatic sensations similar to premonitory sensations in tic disorders (e.g., tingling around the eyes) leading some to suggest that this symptom presentation should be viewed as a distinct form of “Tourettic OCD” (TOCD) in which symptoms of OCD and chronic tic disorders are closely intertwined. Consequently, it has also been argued that existing cognitive-behavioral interventions for OCD need to be adapted to address the unique features of TOCD. The current case study describes the application of inference-based cognitive behavioral therapy (I-CBT) for a 52-year-old with a symptom presentation of VTO, including symptoms resembling those commonly ascribed to TOCD (tics, compulsions, and premonitory urges). Over the course of 16 weekly sessions with I-CBT, the client reached the complete remission of OC symptoms, together with a significant reduction in related symptoms (e.g., depression, social anxiety). Implications for the conceptualization and treatment of forms of OCD that appear to be intertwined with tic disorders will be discussed.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0040.003
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 head0.132
GPT teacher head0.476
Teacher spread0.344 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2024
Admission routes1
Has abstractyes

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