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Record W4367852467 · doi:10.1002/pits.22937

<i>GuysWork</i>: Describing a school‐based healthy relationships program for adolescent boys and results from a pilot evaluation during COVID‐19

2023· article· en· W4367852467 on OpenAlexaffabout
Chris Gilham, Morris Green, Sherry Neville‐MacLean, Natalie Bakody, Heather Ternoway, Derek Smith, Tod Augusta‐Scott

Bibliographic record

VenuePsychology in the Schools · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsTechnical University of Nova ScotiaNova Scotia Department of AgricultureGreenfield Research (Canada)Education and Early Childhood DevelopmentSt. Francis Xavier University
Fundersnot available
KeywordsLonelinessPsychologyNova scotiaMasculinityUCLA Loneliness ScaleScale (ratio)Clinical psychologyNorm (philosophy)Coronavirus disease 2019 (COVID-19)Perceived Stress ScaleDevelopmental psychologyApplied psychologyStress (linguistics)Social psychologyMedicine

Abstract

fetched live from OpenAlex

Abstract We describe GuysWork , a school‐based healthy living program for adolescent boys, and share results from a pilot evaluation in Nova Scotia, Canada, during COVID‐19. The team hypothesized the program would reduce loneliness, perceived stress, and adherence to key traditional male gender role norms postprogram. A longitudinal cohort pre‐ and postsurvey design was used. One‐hundred fifty‐two participants completed sections of UCLA Loneliness Scale, Perceived Stress Scale, and the Meanings of Adolescent Male‐Role Norms Scale (MAMS). Results were nonsignificant for loneliness and perceived stress. MAMS results were statistically significant with a medium effect size ( r = −.26) but there are limitations in the study. This pilot study of GuysWork has resulted in important lessons learned that will ensure a forthcoming Atlantic Canada‐wide evaluation results in robust evidence with the potential to support the need for masculinity norm‐changing work specifically for adolescent boys in schools.

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)0.008
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.362
GPT teacher head0.459
Teacher spread0.097 · 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 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

Citations3
Published2023
Admission routes2
Has abstractyes

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