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Record W2147839916 · doi:10.22230/cjc.2015v40n3a2884

Millennials’ Media Use: It Is a Matter of Time

2015· article· en· W2147839916 on OpenAlexafffundvenueabout
Jacqueline Botterill, Marian Bredin, Tim Dun

Bibliographic record

VenueCanadian Journal of Communication · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsBrock University
FundersCouncil for Research in the Social Sciences, Brock University
KeywordsSocialityEntertainmentSocial mediaSign (mathematics)AdvertisingSociologyMedia useNew mediaMedia studiesComputer scienceMultimediaInternet privacyPsychologyBusinessSocial psychologyWorld Wide WebArtVisual artsMathematics

Abstract

fetched live from OpenAlex

A transmedia diary tracked the media use of 388 Canadian university students, documenting the various ways they migrated across a range of devices and platforms as well as online and off-line sites during a typical day. The study suggests that media are used for entertainment, but also predominantly for socializing. The tendency to employ media for socializing is neither trivial nor alienating. It is a sign of a time when assembling sociality has become more challenging. Alan Warde’s theory of hypermodern times explains students’ dedication to “convenience technologies.” Media allow students to coordinate, stack, or shift their social interaction to better suit personal timetables. The analysis suggests that young people respond to new demands to socialize around the clock with escalating use of convenience 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 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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.134
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0000.001
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 head0.059
GPT teacher head0.313
Teacher spread0.255 · 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 designObservational
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

Citations27
Published2015
Admission routes4
Has abstractyes

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