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Record W4410149285 · doi:10.1080/00472778.2025.2490563

The eudaimonic well-being of entrepreneurs: A gendered perspective

2025· article· en· W4410149285 on OpenAlexaffabout
Albena Pergelova, Jeremy Zwiegelaar, Bryan Smale

Bibliographic record

VenueJournal of Small Business Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of WaterlooMacEwan University
Fundersnot available
KeywordsPerspective (graphical)EudaimoniaPsychologySocial psychologySociologyPositive economicsEpistemologyEconomicsPhilosophyComputer science

Abstract

fetched live from OpenAlex

Entrepreneurial well-being has received considerable interest during the past few years. However, literature is limited on the eudaimonic well-being of women entrepreneurs, even though it is recognized that gendered social roles and expectations impose time and resource limitations that can affect women’s ability to flourish and achieve well-being. The study builds a theoretical model explaining how several factors embedded in the family and community (personal life interference with work, personal-life enhancement of work, and sense of community) affect the eudaimonic well-being of self-employed women and men. Further, we test the role of young children and flexible working arrangements (work from home). Using a sample of 656 self-employed individuals from the Canadian Index of Well-Being survey, our results demonstrate significant differences in how personal life interference with work and the presence of young children constrain the ability of self-employed women (vis-a-vis their male counterparts) to fulfill their eudaimonic well-being.

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 score0.643
Threshold uncertainty score0.591

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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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

Citations5
Published2025
Admission routes2
Has abstractyes

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