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Record W1986530761 · doi:10.1080/17439760.2012.691982

A possible physiological correlate for mental flow

2012· article· en· W1986530761 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

VenueThe Journal of Positive Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCoherence (philosophical gambling strategy)PsychologyFlow (mathematics)BiofeedbackHeart rate variabilityCognitive psychologyTask (project management)Heart rateStatisticsMathematics

Abstract

fetched live from OpenAlex

The relationship between mental flow and physiological coherence was investigated in three tasks. Coherence is a state defined by a particular pattern of low frequency heart rate variability (HRV), which has been related to optimal performance and positive mental states. Flow is a pleasurable performance-enhancing psychological state. In the first task, participants answered questionnaires. In the second, they played a coherence-inducing biofeedback game, and in a third, they played a flow-inducing videogame. HRV was used to measure coherence while flow was assessed using the Flow State Scales. The data revealed that coherence could be induced without flow and vice versa. More surprising, the correlations between flow and coherence were different in each of the tasks. We conclude that coherence and flow are discrete constructs despite their theoretical similarities.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.049
GPT teacher head0.400
Teacher spread0.351 · 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