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Record W6966889744 · doi:10.48336/81zj-tw89

Gender role identity and entrepreneurial intentions: a study with university students

2022· article· en· W6966889744 on OpenAlexaffabout

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIdentity (music)Theory of planned behaviorSocial identity theoryAssociation (psychology)Control (management)Conceptual modelGraduate studentsGender identityGender role

Abstract

fetched live from OpenAlex

The aim of this study is to investigate the association of gender role identity with the precursors (antecedents) of entrepreneurial intentions by empirically validating the relationship between gender role identity and entrepreneurial intentions. The theoretical frameworks used in the study are the Theory of Planned Behaviour (TPB) and Social Role Theory (SRT) (Ajzen, 1991; Eagly,1987). The study investigates the mediating role of the constructs of TPB- attitude towards behavior (ATB), perceived behavioral control (PBC) and subjective social norms (SSN) in the relationship between gender role identity (GRI) and entrepreneurial intentions (EI). A survey was conducted with 149 undergraduate and graduate students of all departments from the Memorial University of Newfoundland located in St John’s city in Newfoundland and Labrador province, Canada. Results suggest that gender role identity is indirectly associated with entrepreneurial intentions through subjective social norms and attitude towards behavior and also through subjective social norms and perceived behavioral control. Findings also show that higher the level of femininity, lower are the subjective social norms. This study makes a significant contribution by investigating a conceptual model of gender role identity and entrepreneurial intentions. Limitations, future directions, and conclusion have been outlined.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.001
Scholarly communication0.0010.003
Open science0.0020.005
Research integrity0.0000.001
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 head0.035
GPT teacher head0.262
Teacher spread0.226 · 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.

Study designObservational
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

Citations1
Published2022
Admission routes2
Has abstractyes

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