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Record W4408177357 · doi:10.1016/j.actpsy.2025.104866

Momentary clumsiness and attention: Everyday interactions (and risks) in the world

2025· article· en· W4408177357 on OpenAlexafffund
DERRYN JEWELL, Mark A. Schmuckler

Bibliographic record

VenueActa Psychologica · 2025
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyCognitive psychology

Abstract

fetched live from OpenAlex

Typically, explorations into risk-taking involve the conscious undertaking of actions that are potentially harmful. Rarely considered in such risk-taking contexts, however, are everyday, innocuous behaviors that nevertheless have the potential to cause some level of harm to actors; such behaviors could be considered as lying on a continuum of risky activity. The current study explored individual and developmental differences in one such category of behavior, entitled "momentary clumsiness". Momentary clumsiness refers to a tendency to perform movements involving non-optimal motor control, such as knocking over a glass of liquid or tripping while walking up stairs. This project explored the link between such behaviors and attentional factors. Specifically, twenty participants in three age groups (7- and 8-year-olds, 11- and 12-year-olds, and young adults) completed the experiment in 2 testing sessions. Momentary clumsiness was assessed by a 2-week daily phone interview, and was correlated with Stroop performance. The incidence of momentary clumsiness remained steady with age and was not related to motor ability or anthropometric measures. A high incidence of momentary clumsy behaviors was associated with a narrow focus of attention, and specifically, the tendency to ignore irrelevant and distracting stimuli. These findings are interpreted with respect to the relation between action and attentional focus, and provide a basis for extending our conceptualizations of injury proneness and risk-taking into a continuum of behaviors, varying in their degree of riskiness.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.655

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.157
GPT teacher head0.532
Teacher spread0.375 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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