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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 OpenAlex
George Veletsianos, Nicole Johnson, Olga Belikov

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.
fundA Canadian funder is recorded on the work.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
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