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In The Eye Of The Hurricane: Sustainable Careers Under Lockdown

2021· article· en· W3185252804 on OpenAlexaff
Maria Mouratidou, Mirit K. Grabarski

Bibliographic record

VenueAcademy of Management Proceedings · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyEmpowermentSocial psychologyHappinessWork engagementPublic relationsSustainabilityApplied psychologyWork (physics)SociologyPolitical science

Abstract

fetched live from OpenAlex

The sustainable careers framework proposes that careers are sustainable if they are characterized by three main indicators: health, happiness, and productivity, when responsibility for these career outcomes is shared between individuals and organizations. The COVID-19 pandemic has created a major career disruption for many individuals due to layoffs, reduced work hours and increased work-life conflict. Using a mixed methods design, we explore how individuals perceive their careers, and specifically indicators of sustainability, during the first lockdown in the UK. In the qualitative Study 1 we identify themes that characterize the common experiences during this early stage of the pandemic, namely employer support, careful optimism and strengthened relationships. Then, in the quantitative Study 2, we empirically test a research model that links the concept of employer support with indicators of sustainable careers. We investigate the mediating role of career empowerment, which is a motivational cognitive construct that captures individual cognitions of agentic control over one’s career. In addition, we investigate the moderating role of agreeableness in the relationship between the individual and the organization. Our research provides a rich snapshot that depicts perceptions of careers in crisis, which has both theoretical and practical implications.

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 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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.034
GPT teacher head0.372
Teacher spread0.338 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
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

Citations2
Published2021
Admission routes1
Has abstractyes

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