MétaCan
Menu
Back to cohort
Record W1560817623 · doi:10.1123/tsp.26.2.261

Qualitative Research in Sport Psychology Journals: The Next Decade 2000-2009 and Beyond

2012· article· en· W1560817623 on OpenAlex
Diane M. Culver, Wade Gilbert, Andrew C. Sparkes

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

VenueThe Sport Psychologist · 2012
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPositivismQualitative researchSport psychologyPsychologyAthletesSocial scienceApplied psychologySociologyEpistemologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

A follow-up of the 1990s review of qualitative research articles published in three North American sport psychology journals (Culver, Gilbert, & Trudel, 2003) was conducted for the years 2000–2009. Of the 1,324 articles published, 631 were data-based and 183 of these used qualitative data collection techniques; an increase from 17.3% for the 1990s to 29.0% for this last decade. Of these, 31.1% employed mixed methods compared with 38.1% in the 1990s. Interviews were used in 143 of the 183 qualitative studies and reliability test reporting increased from 45.2% to 82.2%. Authors using exclusively quotations to present their results doubled from 17.9% to 39.9%. Only 13.7% of the authors took an epistemological stance, while 26.2% stated their methodological approach. We conclude that positivist/postpositivist approaches appear to maintain a predominant position in sport psychology research. Awareness of the importance of being clear about epistemology and methodology should be a goal for all researchers.

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)0.022
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.307
GPT teacher head0.562
Teacher spread0.254 · 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