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Record W2101480482 · doi:10.1002/eat.20114

A community-based training program for eating disorders and its contribution to a provincial network of specialized services

2005· article· en· W2101480482 on OpenAlexaffabout
Gail McVey, Ron Davis, Allan S. Kaplan, Debra K. Katzman, Leora Pinhas, Rose Geist, Margus Heinmaa, Gail Forsyth

Bibliographic record

VenueInternational Journal of Eating Disorders · 2005
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMinistry of Health and Long Term CareNorth York General HospitalToronto General HospitalUniversity of TorontoUniversity Health NetworkSickKids FoundationLakehead UniversityHospital for Sick Children
Fundersnot available
KeywordsOutreachEating disordersCurriculumPsychologyMedical educationPublic healthMedicineNursingFamily medicinePsychiatryPedagogy

Abstract

fetched live from OpenAlex

The Ontario Community Outreach Program for Eating Disorders is a pilot training project within the eating disorder programs at the University Health Network--Toronto General Hospital (TGH) and the Hospital for Sick Children. This system provides ongoing training, consultation, and research evaluation in areas ranging from prevention through to tertiary care, in the hopes of increasing the capacity of practitioners to respond to the healthcare pressures of those experiencing eating disorders. A total of 3,315 health care practitioners and educators in Ontario participated in community-based training workshops. A pre-post analysis of participants' self-report evaluations was conducted using chi-square analyses. The findings revealed that there was a statistically significant increase in participants' (a) knowledge of eating disorders and of body image issues and (b) level of comfort to either treat clients with eating disorders or teach a curriculum on body image. The contribution of the training program to the development of a provincial network of specialized eating disorder services, designed to promote the public's access to timely and appropriate care for the full spectrum of eating disorders, 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.026
GPT teacher head0.359
Teacher spread0.333 · 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

Citations26
Published2005
Admission routes2
Has abstractyes

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