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Record W4210733139 · doi:10.47678/cjhe.vi0.189109

The Okanagan Charter: Evolution of Health Promotion in Canadian Higher Education

2022· article· en· W4210733139 on OpenAlexaffvenueabout
Vicki Squires, Chad London

Bibliographic record

VenueCanadian Journal of Higher Education · 2022
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCharterContext (archaeology)Public relationsPolitical sciencePromotion (chess)Diversity (politics)Higher educationSociologyGeographyLaw

Abstract

fetched live from OpenAlex

This paper traces the history of health promotion on campuses, including the initial attempts at providing oversight over student behaviour to the increased need for further supports after the influx of World War II veterans onto campuses, to the focus on providing a much broader range of supports that consider well-being from a holistic stance. We describe the current context where campuses are beginning to take a more intentional and organized approach to well-being across Canada; for context, we have included a description of our recent study that explores impactful practices on Health Promotion campuses that have implemented the Okanagan Charter (2015) (Authors, in press). The immediate context with the evolving global pandemic, reliance on online learning, emphasis on diversity and increasing access for all will also be explored. Lastly, we suggest future directions for campuses to take to address the current pressures and how a network of campuses engaged in well-being efforts who are employing whole systems approaches can be a hopeful model for ensuring well-being on Canadian campuses in the future.

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)0.010
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score0.929

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0260.021
Scholarly communication0.0130.004
Open science0.0020.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.049
GPT teacher head0.411
Teacher spread0.362 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2022
Admission routes3
Has abstractyes

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