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Record W3188097268 · doi:10.5210/fm.v26i8.11652

Breaching perpetual contact: Withdrawing from mobile and social media use in everyday life

2021· article· en· W3188097268 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.

Bibliographic record

VenueFirst Monday · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSocial mediaEveryday lifePsychologyCreativitySocial capitalSociologyFocus groupSocial psychologyInternet privacyBusinessMarketingPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

This qualitative study aimed to investigate the norms and daily practices around mobile and social technology by examining what happens when mobile phones and social media on any devices are removed from one’s daily life. Most studies on technology non-use focus on one device or plat-form. In this study, participants (N = 78) relinquished not only social media but also their mobile phones for a 10-day period, and made observations on their experiences before, during, and after the “withdrawal.” Participants initially experienced guilt and anxiety over violating a social contract by not being available and reachable anytime and anywhere, but mostly found their social capital — particularly bonding social capital — reinforced through the withdrawal. On the personal front, participants (re)discovered certain “life skills” like memory, imagination, and creativity in navigating their physical world and spending their time.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.023
GPT teacher head0.271
Teacher spread0.248 · 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