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Record W2556646146 · doi:10.4102/sajce.v6i1.431

Early childhood exposure to media violence: What parents and policymakers ought to know

2016· article· en· W2556646146 on OpenAlex
Caroline Fitzpatrick, Michael J. Oghia, Jad Melki, Linda S. Pagani

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

VenueSouth African Journal of Childhood Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversité de MontréalUniversité Sainte-Anne
Fundersnot available
KeywordsAggressionContext (archaeology)PsychologyEarly childhoodDevelopmental psychologyEarly childhood educationSuicide preventionOccupational safety and healthPoison controlHuman factors and ergonomicsInjury preventionMedicineEnvironmental health

Abstract

fetched live from OpenAlex

We review the state of evidence supporting a link between violent media exposure in preschool- aged children and subsequent well-being outcomes. We searched through four decades (1971–2011) of literature for enlightening details on the relationship between early exposure to media violence and health outcomes in later childhood and adolescence. Evidence suggests that preschool exposure may be linked to increased aggression and self-regulation problems. Results are discussed in the context of displacement, social cognitive and overstimulation theories. We recommend increasing efforts towards developing guidelines for families and professionals concerned with the well-being of children.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.256
Teacher spread0.248 · 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