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Record W6989795002

Children, Media, and Pandemic Parenting : Family Life in Uncertain Times

2024· book· en· W6989795002 on OpenAlexfundaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2024
Typebook
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
FundersNational Research FoundationNational Research Foundation of KoreaDeakin UniversityYork UniversityUniversity of Wisconsin-Madison
KeywordsPandemicVariety (cybernetics)Socioeconomic statusFamily lifeSociotechnical systemDigital mediaCommons
DOInot available

Abstract

fetched live from OpenAlex

<p>This book examines changes in families’ rules and routines connected with media during the pandemic and shifts in parents’ understanding of children’s media use.</p><p>Drawing on interviews with 130 parents at the height of the COVID-19 pandemic, the book explores specific cultural contexts across seven countries: Australia, Canada, China, Colombia, South Korea, United Kingdom, and United States. Readers will gain an understanding of family media practices during the pandemic and how they were influenced by contextual factors such as the pandemic restrictions, family relationships and situations, socioeconomic statuses, cultural norms and values, and sociotechnical visions, among others. Further, encounter with theoretical framings will provide innovative ways to understand what it means for children, parents, and families to live in the digital age.</p><p>This timely volume will offer key insights to researchers and graduate students studying in a variety of disciplines, including media and cultural studies, communication arts, education, childhood studies, and family studies.</p><p>The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution- Non Commercial- No Derivatives (CC- BY- NC- ND) 4.0 license.</p>

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0130.011
Science and technology studies0.0010.002
Scholarly communication0.0060.010
Open science0.0050.009
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.092
GPT teacher head0.351
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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