MétaCan
Menu
Back to cohort
Record W4413391392 · doi:10.1123/kr.2025-0007

A Content Analysis Exploring 25 Years of Conference Abstracts From the Eastern Canada Sport and Exercise Psychology Symposium

2025· article· en· W4413391392 on OpenAlexaffabout
Katherine E. Hirsch, Frank O. Ely, Ashley Flemington, Irene L. Muir, Krista J. Munroe‐Chandler, Todd M. Loughead

Bibliographic record

VenueKinesiology Review · 2025
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologySport psychologyContent analysisContent (measure theory)Applied psychologySocial scienceSociology

Abstract

fetched live from OpenAlex

The purpose of this study was to examine 25 years of abstracts from a prominent sport and exercise psychology student conference to investigate presentation characteristics, presenter characteristics, and presenters’ current occupations. A quantitative and qualitative content analysis of 2,102 abstracts and 1,204 presenters was conducted. Sport psychology research was represented most frequently over all time periods (49.5%–65.7%); however, exercise psychology (+10.9%) and health psychology (+5.3%) grew more prevalent over time. Quantitative methods were used most frequently in all time periods (43.9%–53.8%), while qualitative research increased in frequency over time (+4.9%). The most common research topics, regardless of date, were (a) physical activity (13.6%) and (b) equity, diversity, and inclusion (11.5%). Results of current occupations of former presenters demonstrated that the proportion of individuals who occupy academic positions has decreased over time (−21.7%). Explanations and implications are provided for research topic and methods trends and the state of career prospects for 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.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.108
GPT teacher head0.341
Teacher spread0.233 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueKinesiology ReviewSame topicSport Psychology and PerformanceFrench-language works237,207