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Record W4392896989 · doi:10.1111/jomf.12983

The digitalization of family life: A multilevel conceptual framework

2024· article· en· W4392896989 on OpenAlexaff
Yue Qian, Yang Hu

Bibliographic record

VenueJournal of Marriage and the Family · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConceptual frameworkBridging (networking)Family lifeSociocultural evolutionSociologyScholarshipThe InternetPsychologySocial sciencePolitical scienceGender studiesComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract The internet and digital technologies have penetrated all domains of people's lives, and family life is no exception. Despite being a characterizing feature of contemporary family change, the digitalization of family life has yet to be systematically theorized. Against this backdrop, this article develops a multilevel conceptual framework for understanding the digitalization of family life and illustrates the framework by synthesizing state‐of‐the‐art research from multiple disciplines across global contexts. At a micro level, as individuals “do” family online, digitalization influences diverse aspects of family practices, including family formation, functioning, and contact. How individuals “do” family online is not free‐floating but embedded in macro‐level economic, sociocultural, and political systems underpinning processes of digitalization. Bridging the micro–macro divide, family‐focused online communities serve as a pivotal intermediary at the meso level, where people display family life to, and exchange family‐related support with, mostly nonfamily members. Meso‐level online communities are key sites for forming and diffusing collective identities and shared family norms. Bringing together the three levels, the framework also considers cross‐level interrelations to develop a holistic digital ecology of family life. The article concludes by discussing the contributions of the framework to understanding family change and advancing family scholarship in the digital age.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.306
Teacher spread0.275 · 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 designTheoretical or conceptual
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

Citations31
Published2024
Admission routes1
Has abstractyes

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