Antecedents of Entrepreneurial Intent: A Cross-Country Comparison of Generation Y University Students
Bibliographic record
Abstract
This paper convey the findings of a study carried out to compare the antecedents of entrepreneurial intentions of students from two universities within the Southern African continent. A cross-sectional survey, based on 400 students from two universities of two different countries (South Africa and Zimbabwe) was conducted using a self-administered questionnaire. Using the theory of planned behavior, personal attitude, subjective norms and perceived behavioral control, and entrepreneurial education were used to predict entrepreneurial intentions. Personal attitude and subjective norms and entrepreneurial education seem to positively influence behavioral intentions. Behavioral control showed insignificant predictive relationship with behavioral intentions. It is recommended that entrepreneurial education should be made a core and integral component of study at universities so that universities as social institutions can create an impetus with a holistic approach including all role players with adequate resources to support students in entrepreneurial ventures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".