IS IT A MAN’S WORLD? A BIBLIOMETRIC ANALYSIS OF WOMEN’S ENTREPRENEURSHIP LITERATURE FROM A GENDER PERSPECTIVE
Bibliographic record
Abstract
Although men still spring to mind when entrepreneurship is mentioned, given that women have been highly successful as entrepreneurs, breaking through glass ceilings and having a solid presence in entrepreneurship, it is crucial to uncover how studies of entrepreneurship have evolved from a gender perspective. Therefore, this study aims to determine the extent of academic interest in women's entrepreneurship and what subtopics are included in related studies. To this end, bibliometric analysis methods were used to evaluate articles published in the field of business and management over the past decade. Included in the analysis were 305 articles published in English in the Social Science Citation Indexed Journals on the Web of Science database and originating from the United States, the United Kingdom, Canada, and Australia, the four countries that contribute most to women's entrepreneurship. While most authors contributing to women's entrepreneurship literature are from institutions in the United States, Australian authors are the most collaborative scholars internationally. Moreover, while the literature on women's entrepreneurship was viewed directly from a gender perspective at the beginning of the last decade, it is apparent that subtopics such as risk, entrepreneurial identity, discrimination, and entrepreneurial intention have come into focus over time.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.109 | 0.180 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".