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Record W2181928800 · doi:10.1080/1754730x.2015.1110494

Pilot evaluation of the feasibility and acceptability of StressOFF Strategies: a single-session school-based stress management program for adolescents

2015· article· en· W2181928800 on OpenAlexafffund
Amy J. Shapiro, Nancy L. Heath, Dana Carsley

Bibliographic record

VenueAdvances in School Mental Health Promotion · 2015
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMindfulnessStress managementSession (web analytics)PsychologyClinical psychologyIntervention (counseling)DistractionMental healthMedicinePsychiatry

Abstract

fetched live from OpenAlex

The present study reports the pilot evaluation of the feasibility and acceptability of StressOFF Strategies, a single-session (45 min) adolescent-targeted, school-based psychoeducational program, which introduces cognitive behavioral techniques and mindfulness-based techniques. Five hundred and sixty-five Grade 9 students (57% female; M age = 14.97, SD = 0.36) completed self-report measures of stress, current stress management use, satisfaction with program, understanding of and future willingness to use strategies taught. Pre-intervention, 35.04% of participants reported a moderate–high overall stress level. Furthermore, all participants initially reported limited strategy use with distraction as the most common strategy (68.89%). Post-intervention, 88.67% of participants rated the program as good to excellent with over 87% of participants reporting understanding strategies quite well to very well, and 76–87% of participants indicating high levels of willingness to use each strategy. Females reported high levels of stress, greater satisfaction with the program, and better understanding and willingness to use strategies. Implications for schools are 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.477

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)0.0000.000

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 head0.121
GPT teacher head0.444
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 teacher head, 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

Citations17
Published2015
Admission routes2
Has abstractyes

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