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Record W7008677613

CREATING RECOMMENDATIONS ON EATING DISORDER POLICIES AND PRACTICES AT CANADIAN UNIVERSITIES

2022· dissertation· en· W7008677613 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisEating disordersInclusion (mineral)Mental illnessBest practiceRanking (information retrieval)
DOInot available

Abstract

fetched live from OpenAlex

This thesis is aimed at creating recommendations for eating disorder policies and practices for Canadian universities. The rise in eating disorder cases among university students in recent years obliges higher education institutions to address this issue. Previous studies have examined the most beneficial eating disorder practices in the Kindergarten – Grade 12 sector, but researchers have yet to investigate which practices can make a change in lives of university students with this mental illness. Using the method of case study as a foundation of this research, eating disorder policies and practices at 49 leading Canadian universities included in Maclean's ranking were analyzed through a thematic analysis of documents and websites’ content. This analysis became a basis for semi-structured interviews with four eating disorder specialists who reflected on existing practices. All data were examined following Braun and Clarke’s (2006) thematic analysis, resulting in the creation of five main themes: Existing Eating Disorder Practices, Stakeholders, Needs of Different Groups, Challenges, and Recommendations, and 22 subordinate themes. This study identified a lack of eating disorder policies and practices; ways were proposed to improve the effectiveness of existing practices based on the opinions of specialists who have experience working with students with eating disorders. These findings provide evidence that creation of effective initiatives related to this mental illness requires the inclusion of the perspectives of certain stakeholders, consideration of the needs of specific student groups, and efforts to overcome several challenges that prevent universities from addressing this illness on campuses. This thesis reiterates the need for higher education institutions to increase awareness about the effects of eating disorders, which can result in adopting more policies and practices directed at managing this mental illness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.057
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.166
Threshold uncertainty score0.968

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.057
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.009
Science and technology studies0.0260.005
Scholarly communication0.0110.005
Open science0.0060.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.254
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

Explore more

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