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Record W2936675639 · doi:10.1111/bjet.12788

Academics' social media use over time is associated with individual, relational, cultural and political factors

2019· article· en· W2936675639 on OpenAlexafffund
George Veletsianos, Nicole Johnson, Olga Belikov

Bibliographic record

VenueBritish Journal of Educational Technology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsRoyal Roads University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNature versus nurtureSocial mediaPoliticsSociologySocial psychologyPublic relationsPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract The use of social media in academics' lives is well documented; however, researchers have a limited understanding about whether, why and how academics' social media use changes over time. Through interviews with 12 scholars, we identify multiple reasons that lead them to change their use of social media over time. Specifically, scholars report their social media use changing as a result of personal life events; professional transitions; concerns related to online privacy and self‐protection; evolution of technology; their desire to develop and nurture relationships; awareness of the needs of others; and, the political climate. These findings reflect individual desires and broader cultural shifts, indicating that scholars’ use of social media is impacted not just by their individual preferences, but also by forces that impact upon them.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.043
GPT teacher head0.330
Teacher spread0.287 · 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.

Study designObservational
DomainEvaluation
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

Citations42
Published2019
Admission routes2
Has abstractyes

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