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Adjusting to epidemic-induced telework: empirical insights from teleworkers in France

2020· article· en· 350 citations· W3094013630 on OpenAlex· 10.1080/0960085x.2020.1829512

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: QualitativeConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.562
Threshold uncertainty score
0.558
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.063
GPT teacher head0.306
Teacher spread
0.244 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

The covid-19 pandemic crisis presents unprecedented challenges and has profound implications for the way people live and work. Information and communication technologies have been playing a crucial role in ensuring business continuity as lockdown measures have suddenly forced employees from across the globe to telework, often leaving them unprepared and ill-equipped. This paper develops an epidemic-induced telework adjustment model derived from the theory of Work Adjustment and the Interactional Model of Individual Adjustment. It is tested on a sample of 1574 teleworkers in France. The results demonstrate the superiority of the influence of crisis-specific variables that are professional isolation, telework environment, work increase and stress. Implications for research are discussed while concrete and actionable recommendations for organisations are provided.

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.

The record

Venue
European Journal of Information Systems
Topic
Work-Family Balance Challenges
Field
Social Sciences
Canadian institutions
Université LavalUniversité de Montréal
Funders
not available
Keywords
GlobeWork (physics)Coronavirus disease 2019 (COVID-19)Isolation (microbiology)PandemicSample (material)Information technologySoft systems methodologyEmpirical evidenceBusinessPublic relationsInformation systemPsychologyEngineeringManagement information systemsPolitical science
Has abstract in OpenAlex
yes