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Record W4405059016 · doi:10.1007/978-3-031-69362-5_57

Family Systems Theory in the Digital Age: Reifying the Digital Level of Analysis

2024· book-chapter· en· W4405059016 on OpenAlexaff
Dillon T. Browne, Orsolya Király, Kateřina Lukavská, Sheri Madigan, Zsolt Demetrovics

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryUniversity of Waterloo
Fundersnot available
KeywordsChampionConceptual frameworkDigital healthPsychologyKnowledge managementSociologyComputer scienceSocial scienceHealth carePolitical science

Abstract

fetched live from OpenAlex

Abstract Researchers are increasingly asking questions about the complex ways in which digital media transects family life for the purpose of understanding health and development. Most research in this domain is informed by theoretical models that champion the primacy of individuals (i.e., the child). However, family systems theory (FST) has long emphasized that the family unit itself, versus the child, should be the focus of study, assessment, and intervention. This paradigm remains underutilized in research related to digital media and health. The present chapter provides a primer in FST for researchers and clinicians who are interested in media. Core concepts such as holism, organization, feedback, and resilience are reviewed. These principles are contrasted with individual-focused theoretical models. The digital level of analysis is outlined as a conceptual frame of reference and ecological layer of organization that can be applied in future digital media studies. Lastly, recommendations for research, practice, and policy are provided, with an emphasis on responsible digital innovation and application of 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.090
GPT teacher head0.295
Teacher spread0.205 · 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.

Study designTheoretical or conceptual
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

Citations3
Published2024
Admission routes1
Has abstractyes

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