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Record W4285282073 · doi:10.1123/smej.2022-0008

Teaching Reflections and Insights From a 38-Year Sport Management Career

2022· article· en· W4285282073 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSport Management Education Journal · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAthletic Training and Education
Canadian institutionsWestern University
Fundersnot available
KeywordsSport managementPsychologyPedagogySociologyMedical educationEngineering ethicsPublic relationsPolitical scienceEngineeringMedicine

Abstract

fetched live from OpenAlex

What makes an effective university instructor? Are there transferable practices and strategies that relate to success in the classroom? The recipient of the 2022 North American Society for Sport Management Distinguished Sport Management Educator Award reflects on his 38-year career and concludes that teaching has been his most rewarding activity. Like him, colleagues typically have little preparation for the role, so they often rely on exceptional role models and influential mentors. He reflects on the impact that significant role models and mentors had on his development and teaching practices. He shares insights, experiences, and teaching strategies that sport management colleagues may wish to adopt to heighten their efficacy and impact with their students.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.998

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 studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.401
Teacher spread0.347 · 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