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Record W4317778927 · doi:10.1080/02701367.2022.2153785

Are Tertiary Institutions Losing Sight of Their Duty to <i>Cura Personalis</i> ?

2023· article· en· W4317778927 on OpenAlexaff
Alexandra Szarabajko, Bradley J. Cardinal

Bibliographic record

VenueResearch Quarterly for Exercise and Sport · 2023
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsColumbia College
FundersCollege of Public HealthOregon State University
KeywordsHigher educationMandateMedical educationCurriculumInstitutionPsychologyQuality (philosophy)Sample (material)Physical educationMedicinePedagogyPolitical scienceSociologySocial science

Abstract

fetched live from OpenAlex

Purpose: Physical education requirements (PERs) have been suggested as a potential solution for increasing physical activity (PA) among undergraduate students, specifically for the inactive who face the greatest barriers to PA. In 2010, among a nationally-representative, random sample of tertiary institutions in the U.S. only 39% had PERs as part of their general education curriculum. But, being a decade old, this data may be outdated. The aim of this study was to examine the current status of PERs in U.S. tertiary institutions and to explore what institutional characteristics are associated with having a PER. Methods: Academic catalogs of a nationally representative, random sample of 331 institutions were searched for PER information. Results: The majority of U.S. tertiary institutions did not mandate physical education (PE) courses (56.2%), whereas 31.7% fully and 12% partially required their undergraduate students to complete a PE course to graduate. The characteristics most associated with an institution having a PER included being private, having a small enrollment size, having an academic degree program related to the field, having both activity and conceptual components, being <3 credit hours, offering an elective program in physical activity education, and being located in the south. Conclusion: Future work is needed to identify important elements of PER courses, reasons why PERs are sustained by some institutions versus others, and to establish practical guidelines regarding best practices for quality PER courses. More direct action within the discipline of kinesiology is needed to underscore the importance and need of PERs at the tertiary level.

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 score0.713
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.156
GPT teacher head0.422
Teacher spread0.266 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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