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Record W4410925687 · doi:10.1080/19420676.2025.2512484

Cultural Support for Social Entrepreneurship and Social Entrepreneurial Intentions: Does Femininity or Masculinity Matter More?

2025· article· en· W4410925687 on OpenAlex
Duong Tuan Nguyen, Michael Mustafa, Thi Thuy Nguyen

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

VenueJournal of Social Entrepreneurship · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFemininityMasculinityPsychologySocial psychologySociologyEntrepreneurshipSocial entrepreneurshipGender studiesPolitical science

Abstract

fetched live from OpenAlex

Utilising Institutional Theory and Social Role Theory, this study explores the impact of perceived cultural support on the intention to become social entrepreneurs. Additionally, we investigate whether self-determined masculinity and femininity moderates this relationship. Structural model analysis, based on data collected from 560 Vietnamese students, indicates that perceived cultural support for social entrepreneurship influences intentions positively. Furthermore, this positive relationship is stronger among individuals with high levels of femininity, whereas the moderating effect of masculinity is not significant. These findings underscore the importance of fostering social enterprises through entrepreneurship education and role modelling.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.303
Teacher spread0.268 · 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