Exploring the gendered tourism entrepreneurial ecosystem in Barcelona and responses required: a feminist ethic of care
Bibliographic record
Abstract
Barcelona is an attractive location in Spain for tourism entrepreneurship; however, women are significantly under-represented. This study adopts a locally based perspective and a feminist ethic of care theoretical lens to give voice to tourism women entrepreneurs and members of the entrepreneurial ecosystem in Barcelona. The aim of our analysis is to understand the culture of the entrepreneurial ecosystem and seeks to answer the following research question: How does an entrepreneurial ecosystem that operates in a tourism entrepreneurship context characterized by gendered barriers, find support through gender equity resources and policies? To address this question, we have applied feminist theory to analyze the semi-structured interviews with female entrepreneurs and individuals committed to Barcelona’s entrepreneurial ecosystem. Our analysis revealed three main gender equity-related issues i.) Hunting and caring: The Gender Entrepreneurship Division; ii.) Social Conditioning and gender norms: Reinforcing Gender Inequities and iii.) Entrepreneuring and the Motherhood Penalty. Our findings draw attention to gender biases and opportunities to enhance equity in the entrepreneurial ecosystem in Barcelona by employing an ethic of care and committing to diversification. We offer a theoretical framework to understand and respond to gender inequities to enhance the success of women tourism entrepreneurs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".