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Record W4400439021 · doi:10.55016/ojs/ajer.v54i2.55224

Community Capacity-Building in Schools: Parents’ and Teachers’ Reflections From an Eating Disorder Prevention Program

2008· article· en· W4400439021 on OpenAlexafffundvenue
Shelly Russell‐Mayhew, Nancy Arthur, Carol Ewashen

Bibliographic record

VenueAlberta Journal of Educational Research · 2008
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Medical AssociationYork University
KeywordsPsychologyDevelopmental psychologyMathematics educationPedagogyMedical educationMedicine

Abstract

fetched live from OpenAlex

A pilot research study to examine the effect of a wellness-based intervention on improving students’ body image, personal attitudes, and eating behaviors highlighted the importance of a healthy school environment. Parent and teacher focus groups were conducted to explore the perceived influences of wellness-based interventions designed for parents, teachers, and students. Results support movement toward wellness-based programming and suggest that school-community capacity-building may be a worthwhile framework for continued study in relation to programming to prevent eating disorders. Excerpts from focus group data illustrate key themes in relation to change and demonstrate the importance of capturing both the content of the wellness-based interventions and the process of interaction in the schools. This pilot study found that interventions in schools that focus on wellness and target parents, teachers, and students are effective in terms of building capacity for promoting positive change in students’ attitudes and behaviors.

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)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.449
GPT teacher head0.599
Teacher spread0.150 · 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

Citations5
Published2008
Admission routes3
Has abstractyes

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