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Record W2950463680 · doi:10.21810/strm.v11i1.265

Exploring Middle-Class Malaysian Parents' Perceptions and Concerns About Children's Internet Usage

2019· article· en· W2950463680 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueStream Interdisciplinary Journal of Communication · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsYork University
Fundersnot available
KeywordsThe InternetWorryPerceptionMiddle classMediationPsychologyQualitative researchSociologyPolitical scienceSocial scienceComputer scienceAnxiety

Abstract

fetched live from OpenAlex

The growing number of children internet users are causing parents to worry. While there are many researches in the Global North, very few studies are done in the Global South. The study aims to bridge this gap with a study of Malaysia, a Global South country. Using a contextual approach, this research investigates middle-class Malaysian parents’ perceptions and concerns about their children’s internet usage. Qualitative in-depth interviews were conducted with seven parents, whose children – aged from five to eighteen – are active internet users. The analysis of the interviews revealed three major themes; firstly, parents make evaluative judgments about internet contents and platforms; secondly, children’s age determines use and device ownership; and thirdly, Malaysian parents used mediation strategies unique to Malaysia: they employ spies among their children and enlist help from older children. The analysis further revealed two generalized Malaysian parents’ fears about the internet: foreign culture influencing the dominant culture and apprehensions about new technologies.

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)0.000
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 score0.092
Threshold uncertainty score0.447

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.060
GPT teacher head0.321
Teacher spread0.262 · 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