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Record W4392295824 · doi:10.1002/lim2.99

The better health club: A model for global, interdisciplinary learning in lifestyle medicine

2024· article· en· W4392295824 on OpenAlexaff
Lawrence Paddon, Kristi L. Storoschuk, Vivienne Acuna, Arian Ariaye, Olivia C. Brandon, Nicolas Di Leo, Ryan Gharios, Kaylie Zapanta, Thomas R. Wood, David A. Horner

Bibliographic record

VenueLifestyle Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsQueen's University
Fundersnot available
KeywordsGlobeDiversity (politics)Public relationsHealth promotionSpace (punctuation)Medical educationPsychologySociologyMedicinePolitical sciencePublic healthComputer scienceNursing

Abstract

fetched live from OpenAlex

Abstract Contemporary students increasingly benefit from non‐hierarchical education, including peer‐led work, which moves beyond more ridged traditional educational structures. Such approaches encourage engagement, two‐way communication, diversity of thought and collaboration. This piece shares the stories and experiences of students with a shared interest in health promotion and lifestyle medicine who took part in a peer‐led, internationally based online student group. The forum aimed to provide a space for students to explore and discuss diverse topics within the health sphere in an attempt to bridge the gap between areas of expertise and education. The group capitalised on the normalisation of remote video meetings following the COVID‐19 pandemic to bring together a small group of diverse students from across the globe on a weekly basis for journal clubs, presentations, debates and guest lectures. Group member feedback was obtained and highlighted key gaps in much traditional education, which the group addressed. These included moving beyond educational and research silos, the importance of preventative health approaches and the need for more judgement‐free and inclusive learning environments. Alignment with the current health landscape and potential for scaling the group format more widely is discussed. The article concludes by emphasising the advantages of this approach in fostering a network of learners prepared to tackle future health challenges.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.391
Teacher spread0.361 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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