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Record W7074095876

Supportive communication with parents moderates the negative effects of electronic media use on life satisfaction during adolescence

2014· article· en· W7074095876 on OpenAlexaboutno aff

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsnot available
Fundersnot available
KeywordsElectronic mediaLife satisfactionElectronic communicationMedia useSample (material)Computer-mediated communication
DOInot available

Abstract

fetched live from OpenAlex

Objectives: To examine the impact of electronic media\n(EM) use on teenagers’ life satisfaction (LS) and to assess\nthe potential moderating effect of supportive communication\nwith parents (SCP).\nMethods: Data were drawn from the cross-national Health\nBehaviour in School-aged Children (HBSC) study (2009/\n2010) in Canada, England, Germany, Hungary, Italy,\nIsrael, The Netherlands, Poland and Scotland. Sample size:\n53,973 students aged 11–15 years.\nResults: More hours per day spent on the computer were\nassociated with lower LS; more EM communication with\nfriends with higher LS. This relationship became negative if EM use reached and exceeded a certain threshold. SCP\nmoderated the effect of EM communication with friends,\nbut not computer use for the total sample. SCP seems to be\nmore important than computer use or EM communication\nwith friends for LS and it seems to buffer negative effects\nof EM use.\nConclusions: Communication with parents seems to buffer\nthe negative effects of EM use on LS during\nadolescence. Higher computer use was related to lower LS,\nbut ‘‘optimal’’ frequency of EM communication with\nfriends was country specific.

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)0.000
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.004
GPT teacher head0.141
Teacher spread0.137 · 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
Published2014
Admission routes1
Has abstractyes

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