Female and Male Entrepreneurs' Managerial Behaviour: A Brazilian Study
Bibliographic record
Abstract
In the last two decades a large number of papers have investigated gender and its relationship to entrepreneurial activities. Most of these studies analysed a small number of variables. In general, the results have not been very significant in terms of identifying differences between men's and women's entrepreneurial behaviour. Integrative perspectives involving a diversity of variables to explain entrepreneurial behaviour can represent an important contribution to studies of this nature. Our purpose in this paper, which presents the results of an investigation conducted in two cities in Parana, a Southern Brazilian state, is to illustrate how this can be done. Results indicated similarities in male and female entrepreneurial behaviour in most of the variables studied in this piece of research. However, some significant differences were found, mainly associated with characteristics of managerial style, relationship with the market, and strategies adopted by the entrepreneurs. We conclude this paper with suggestions for future studies that can contribute to a better understanding of entrepreneurship. [PUBLICATION ABSTRACT]
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".