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Record W2802158375 · doi:10.1123/jcsp.2018-0003

Differentiating Flow Experiences in Physical Versus Mental Activities: A Sequential Explanatory Study

2018· article· en· W2802158375 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

VenueJournal of Clinical Sport Psychology · 2018
Typearticle
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsCape Breton University
Fundersnot available
KeywordsPsychologyConscientiousnessCLARITYIntellectPersonalityBig Five personality traitsDevelopmental psychologySample (material)Social psychologyFlow (mathematics)Applied psychologyMechanics

Abstract

fetched live from OpenAlex

Flow is a desirable state of consciousness and absorption in an optimally challenging activity. Prior research has investigated individual differences in flow. The present study investigates flow by contrasting physical versus mental activities, using a mixed-methods, sequential explanatory design. The sample from the quantitative phase included 205 undergraduate university students assessed on measures of personality, difficulties in emotion regulation, and flow. The big-five traits intellect and conscientiousness, as well as the emotion regulation subscale “lack of emotional clarity” predicted flow during mental activities, but unexpectedly no variables significantly predicted physical flow activities. The second phase used semi-structured interviews with 10 participants. Analyses of the interviews helped further explain the statistical findings, revealing four main themes: role of stress, source of guilt, presence of others, and satisfaction and fulfillment. We conclude that flow is especially relevant in physical activities which have advantages over mental activities in opportunities to experience flow.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.138
GPT teacher head0.520
Teacher spread0.382 · 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