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Record W2091294889 · doi:10.1080/07317101003776472

Evaluation of a School-Based Social Skills Program for Children With Attention-Deficit/Hyperactivity Disorder

2010· article· en· W2091294889 on OpenAlexaff
Penny Corkum, Natasha Corbin, Meredith M. Pike

Bibliographic record

VenueChild & Family Behavior Therapy · 2010
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of GuelphDalhousie University
Fundersnot available
KeywordsPsychologySocial skillsAttention deficit hyperactivity disorderPsychological interventionDevelopmental psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Attention-Deficit/Hyperactivity Disorder (ADHD) is prevalent among school-aged children. An associated feature of the disorder is a deficit in social functioning, which can be detrimental in terms of long-term outcomes. Therefore, it is crucial to identify evidence-based interventions which can improve the social skills of children with ADHD. The current study was an evaluation of a school-based social skills training program, called Working Together: Building Children's Social Skills Through Folk Literature. The modified version of the program with generalization enhancers was delivered in three schools to 16 children over a 10-week period. Results indicated that this program was effective for improving social skills in children with ADHD, particularly for children with poor pragmatic language skills.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.365
Teacher spread0.323 · 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 designObservational
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

Citations30
Published2010
Admission routes1
Has abstractyes

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