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Parent–adolescent joint projects involving leisure time and activities during the transition to high school

2014· article· en· W1990406502 on OpenAlexafffundabout
Sheila K. Marshall, Richard A. Young, Agnieszka Woźniak, Susan Lollis, Lauree Tilton‐Weaver, Margo Nelson, Kristen P. Goessling

Bibliographic record

VenueJournal of Adolescence · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of GuelphUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyLeisure timeDevelopmental psychologyRecallSample (material)Physical activity

Abstract

fetched live from OpenAlex

Leisure research to date has generally overlooked planning and organizing of leisure time and activities between parents and adolescents. This investigation examined how a sample of Canadian adolescents and their parents jointly constructed and acted on goals related to adolescents' leisure time during the move from elementary to high school. Using the Qualitative Action-Project Method, data were collected over an 8-10 month period from 26 parent-adolescent dyads located in two urban sites, through video-taped conversations about leisure time, video recall interviews, and telephone monitoring interviews. Analysis of the data revealed that the joint projects of the 26 dyads could be grouped into three clusters: a) governance transfer or attempts to shift, from parent to adolescent, responsibility over academic demands, organizing leisure time, and safety with peers, b) balancing extra-curricular activities with family life, academics, and social activities, and c) relationship adjustment or maintenance.

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 score0.156
Threshold uncertainty score0.503

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 integrity0.0000.000
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 head0.019
GPT teacher head0.250
Teacher spread0.231 · 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

Citations15
Published2014
Admission routes3
Has abstractyes

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