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Record W6922178478 · doi:10.11575/prism/39696

Parental Technology Governance: Teenagers’ understandings and responses to parental digital mediation

2022· other· en· W6922178478 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMediationFocus groupFocus (optics)Information and Communications TechnologyICTSFamily mediationInformation technology

Abstract

fetched live from OpenAlex

Research on parental mediation of children’s online engagements situate historically longstanding anxieties within the dynamics of present-day information communications technologies (i.e., concerns over new ‘cyber risks’ as well as opportunities). Yet, there remains a lack of emphasis on children’s own reactions to and experiences with parental strategies and responses. In the current article, we highlight research involving semi-structured focus groups (n=35) with Canadian teenagers (n=115). We highlight themes directly related to parental digital mediation, including the role of ICTs in driving addictive behaviours, social connection, differences in parental responses between sons and daughters, and differences with respect to age and birth order. Our discussions reveal qualified support for parental efforts to restrict access and use of digital technologies, but illuminate multifaceted reasons for resistance: their vital role not only for social connection, but access to crucial information and knowledge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.200
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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