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Record W3088826067 · doi:10.5539/jel.v9n5p205

The Relationship Between Fear of Missing Out (FoMO) Levels and Cyberloafing Behaviour of Teachers

2020· article· en· W3088826067 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Education and Learning · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCyberloafing and Workplace Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this research was to investigate the relationship between teachers’ fear of missing out (FoMO) levels and their cyberloafing behaviour and to reveal whether teachers’ FoMO and their cyberloafing behaviour differ according to their gender. The sample of the research consisted of 702 secondary school teachers working in state schools within the borders of Istanbul in 2019-2020 education year. According to the research, it was identified that the level of teachers’ FoMO levels and cyberloafing behaviours were moderate. It was detected that teachers’ FoMO levels differed significantly according to gender. With this result, male teachers’ FoMO levels were higher than female teachers’ FoMO levels. Similarly, it was observed that there was a significant difference between teachers’ cyberloafing behaviour and gender. According to this result, it was found that male teachers’ mean score of cyberloafing behaviour was higher than female teachers’ mean score of cyberloafing behaviour in all sub-scales. In addition, a positive significant relationship between teachers’ FoMO and their cyberloafing behaviour was observed.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.061
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 head0.098
GPT teacher head0.384
Teacher spread0.286 · 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