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Record W2991487273

A Qualitative Exploration of the Experiences of Children and Adolescents with Tourette Syndrome.

2017· article· en· W2991487273 on OpenAlexaff
Kim R. Edwards, Sandra Mendlowitz, Elana Jackson, Claire M. Champigny, Matt W. Specht, Paul Arnold, Daniel Gorman, Gina Dimitropoulos

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsHospital for Sick ChildrenUniversity of CalgaryMcMaster Children's Hospital
Fundersnot available
KeywordsTicsTourette syndromeThematic analysisDistressPsychologyCoping (psychology)Qualitative researchClinical psychologyEmotional distressDevelopmental psychologyPsychiatryAnxiety
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this qualitative study was to explore the experiences of youth with Tourette Syndrome (TS). METHOD: Thirteen participants with TS were recruited from a large tertiary care hospital to complete semi-structured interviews and two questionnaires pertaining to demographic information and tic severity. Thematic analysis was utilized to systematically analyze the data. RESULTS: Three main themes were identified: 1) beliefs about TS; 2) TS related distress and impairment; and, 3) coping with TS. CONCLUSION: The findings from this study suggest that most participants were aware of their tics but unaware of the cause of tics/TS. The interviews also highlighted that, for most participants, TS caused emotional, social, physical, and/or occupational impairment. Despite their distress, participants provided several suggestions for coping with TS and for supporting those who are diagnosed with this condition.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.312
Teacher spread0.282 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

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