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Record W1980884877 · doi:10.1080/2159676x.2014.949831

Physical activity lapses and parental social control: ‘It’s not such a bad thing’

2014· article· en· W1980884877 on OpenAlexaff
Kathleen Wilson, Kevin S. Spink, Lawrence R. Brawley

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDyadPsychologyDevelopmental psychologyPerceptionRespite careContext (archaeology)Social psychologyMedicine

Abstract

fetched live from OpenAlex

While adolescents’ physical activity lapses and their parents’ reactions to lapses have been examined, little is known about the context and cues surrounding these lapses. Using qualitative methods, we explored the lapses and cues that parents used to respond to these lapses in seven parent–adolescent dyads. Each participant participated in a semi-structured dyad interview followed by an individual interview. Two themes emerged in the description of the lapses: (a) lapses appeared to occur in the absence of structured activity, and (b) lapses were viewed as a period of respite. Two main cues triggered parents to respond to the lapses with social control. These cues included the type of activity (e.g. screen time) that occurred during the lapse and the parents’ perception of a lack of motivation by the child. These findings have implications for how we conceptualise lapses and may further our understanding of when parents use social control.

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)0.015
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.202
GPT teacher head0.568
Teacher spread0.366 · 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.

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

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueQualitative Research in Sport Exercise and HealthSame topicImpact of Technology on AdolescentsFrench-language works237,207