MétaCan
Menu
Back to cohort
Record W2963837187 · doi:10.22329/csw.v20i1.5962

Gaining Insight into Youth Programming and the Inclusivity of Girls

2019· article· en· W2963837187 on OpenAlexaffvenueabout
Shannon Vokes, Erinn Nell Barry, Ciann Wilson, Victoria Pulla, Jora Shacter

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of WindsorWilfrid Laurier University
Fundersnot available
KeywordsRecreationMental healthPsychologyConversationParticipatory action researchPositive Youth DevelopmentDevelopmental psychologyPublic relationsSociologyPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Boys dominate youth recreational programs in ways that control the conversation and the physical space, which impedes the ability for girls to participate. This is distressing, given that youth recreational and social programs, for example, those focusing on personal development or on health and well-being, improve girls’ physical and mental health and serve as a protective buffer against negative health outcomes. We conducted a qualitative community-based Participatory Action Research (PAR) project in which we interviewed programmers responsible for social and recreational programs that cater to youth between the ages of 12 and 18 in a region of Southwestern Ontario, Canada. We examined factors influencing girls’ participation through the lens of a modified Bronfenbrenner Ecological Model. The findings were unpacked with a view toward gender equity, particularly focusing on girls’ health and well-being. Based on the findings, we created a knowledge mobilization gender-based toolkit, which, upon implementing, would make the benefits of recreational programming more accessible to girls.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
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 head0.025
GPT teacher head0.322
Teacher spread0.297 · 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

Citations0
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueCritical Social WorkSame topicYouth Development and Social SupportFrench-language works237,207