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Discursive Psychology: An Alternative Approach for Studying Adherence to Exercise and Physical Activity

2000· article· en· W2000334016 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

VenueQuest · 2000
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPerspective (graphical)Discursive psychologySituatedSport psychologyPsychological interventionPsychologyFocus (optics)Physical activityEpistemologyComplement (music)Social psychologySociologyApplied psychologyEngineering ethicsDiscourse analysisMedicineComputer science

Abstract

fetched live from OpenAlex

Within exercise psychology, social cognitive theories have allowed researchers to identify possible influences and mechanisms that account for exercise and physical activity participation. These approaches have advanced the development of interventions to enhance and maintain exercise adherence. Despite this, the adherence problem remains unsolved. This paper introduces an alternative perspective known as discursive psychology. and explores its potential for understanding adherence. How this approach differs from leading approaches is highlighted. Discursive psychology's potential contribution via its focus on discourse and what is accomplished through people's use of words is considered in detail. How discursive psychology contributes to understanding exercise adherence by opening up new avenues of research and associated methodologies is also discussed. It is concluded this approach will complement and enhance existing approaches by focusing on how people are situated within discourses and how this affords and limits how they speak, feel, and behave with respect to exercise.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.161
GPT teacher head0.500
Teacher spread0.339 · 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