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Record W4212921806 · doi:10.1080/1750984x.2022.2028305

Grounded theory

2022· article· en· W4212921806 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

VenueInternational Review of Sport and Exercise Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSophisticationGrounded theoryPsychologySport psychologyApplied psychologyEpistemologySocial psychologySociologySocial scienceQualitative research

Abstract

fetched live from OpenAlex

The purposes of this paper were to (a) describe and assess the use of grounded theory methodology (GTM) in sport psychology over the past 11 years and (b) provide some guidance for best practices moving forward. Following a brief summary of the history of GTM, we present the results of a rapid review of seven sport psychology journals from 2009 to 2021. A total of 35 articles that made claims regarding the use of GTM as a methodology were retained. The retained articles were assessed using 11 criteria. Overall, the methodological completeness of GTM studies in sport psychology appears to have improved over the past decade. Twenty-two of the 35 articles met all, or all but one, of the criteria. Thirteen articles did not meet two or more of the criteria. In terms of areas for improvement, the least widely reported procedures were theoretical sampling (reported in 22 of 35 studies), theoretical saturation (22 of 35 studies), and assessment of theory (22 of 35 studies). Furthermore, the sophisticated positioning of theoretical sensitivity was sometimes lacking in the articles. We discuss ways in which researchers can increase the conceptual and theoretical sophistication of methodologically sound GTM studies.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score0.960

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.000

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 head0.022
GPT teacher head0.366
Teacher spread0.344 · 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