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Record W2182166466

Mindfulness Training for Adolescents with Learning Disabilities

2010· dissertation· en· W2182166466 on OpenAlexfundno aff
Jillian Haydicky

Bibliographic record

VenueTSpace · 2010
Typedissertation
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaGovernment of Ontario
KeywordsMindfulnessPsychologyTraining (meteorology)Learning disabilityPsychotherapistClinical psychologyDevelopmental psychologyGeography
DOInot available

Abstract

fetched live from OpenAlex

The current study evaluated the impact of a 20-week mindfulness training program on executive function, internalizing and externalizing behaviour, and social skills in a clinical sample of adolescent boys with learning disabilities (LD). Mindfulness Martial Arts (MMA) is a manualized group treatment program incorporating elements of mindfulness meditation, cognitive behavioural therapy, and mixed martial arts. Sixty-five boys (ages 12 – 18) with LD were assigned to the MMA or waitlist control group (WL). Adolescents and their parents completed standardized questionnaires before and after training. Analysis of adolescents with distinct clinical profiles showed promising effects. Compared to the WL group, MMA participants with co-occurring ADHD improved on parent-rated externalizing behaviour, oppositional defiant problems, and conduct problems. Boys with elevated hyperactive/impulsive symptomotology improved on parent-rated social problems and monitoring skills. Boys with elevated anxiety reported decreased anxiety. MMA shows promise as an alternative treatment option for youth with LD and co-occurring difficulties.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.047
GPT teacher head0.387
Teacher spread0.339 · 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.

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

Citations5
Published2010
Admission routes1
Has abstractyes

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