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Record W4391225590 · doi:10.1515/commun-2023-0024

Life online during the pandemic : How university students feel about abrupt mediatization

2024· article· en· W4391225590 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

VenueCommunications · 2024
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Intercultural communicationPsychologyInterpersonal communication2019-20 coronavirus outbreakSociologySocial psychologyMedia studiesCommunicationVirologyMedicine

Abstract

fetched live from OpenAlex

Abstract The COVID-19 pandemic caused university education to transition from face-to-face contacts to virtual learning environments. Young adults were forced to live an entirely new life online, without valuable and enjoyable social interaction. We examined subjective perspectives towards life online during the pandemic. We identified four viewpoints about life mediated by computers. Two viewpoints express “struggling”: Viewpoint 1 (Angry, Depressed and Overwhelmed), and Viewpoint 3 (Restricted to and Overwhelmed by Virtuality). A third feeling-state conveys experiences of “surviving”: Viewpoint 4 (Isolated and Powerless in Convenience). Surprisingly, Viewpoint 2 is about “thriving” (Comfortable and Convenient Routine with Computers). The research shows that virtualization, confinement, and anxiety are taking a toll on the mental health of some members of the younger generation, while at the same time other members feel they are thriving in a situation of limited resources, virtuality, and reduced face-to-face human interaction.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.111
GPT teacher head0.447
Teacher spread0.336 · 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