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Record W2395019288 · doi:10.1080/10640260490267724

Prevention Series

2004· article· en· W2395019288 on OpenAlexaff
Niva Piran

Bibliographic record

VenueEating Disorders · 2004
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyCurriculumConstructiveExperiential learningEating disordersConsciousnessPedagogyConsciousness raisingMedical educationMathematics educationMedicineClinical psychology

Abstract

fetched live from OpenAlex

In the growing literature on the prevention of eating disorders, especially the research literature, the role of teachers in prevention is often missing. However, surveys with teachers reveal that there is an interest in eating disorder prevention by school staff and that teachers are seeking training that allows for more constructive interactions between teachers and students in areas related to body image. In addition, these surveys shown that teachers are interested in integrating preventative material into the curriculum. This article suggests that enlisting teachers towards the goal of primary prevention of eating disorders involves three key components: informing and raising consciousness about central issues related to the experience of the body, focus groups and experiential exercises that invite teachers to examine and constructively utilize the impact of their own past body-anchored experiences on current behavior as teachers, and collaborative brain storming about possible teachers'initiatives in integrating this new knowledge into their own classroom and into their schools. This article suggests that this work will allow teachers to provide students with constructive daily experiences in their classes in the area of body image.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.016
GPT teacher head0.312
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 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

Citations45
Published2004
Admission routes1
Has abstractyes

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