"Freedom! It's a lot of freedom": The lived experience of foreign women entrepreneurs in Iceland
Bibliographic record
Abstract
This study focuses on foreign women who decided to establish a business in Iceland. Five interviews were conducted with women from Canada, United States, Brazil, Lithuania and Poland. The diverse background of the participants provided different perspectives towards entrepreneurship and how women dealt with various challenges. Seven main themes emerged during the analyzation of the interviews: “I’ve been very fortunate that I’ve known what I wanted to do”, “Freedom! It’s a lot of freedom”, “…slowly fill in those gaps”, “…the biggest challenge is making sure you have fish for next day”, “Support means the world to an entrepreneur”, “I feel like they don’t really like new things”, “I changed direction” /consequences of the pandemic. All women described the process of becoming self-employed as stressful and overwhelming at times. Most of them struggled with difficulties caused by the language barrier. Despite the challenges they all declared being self-employed as exciting and rewarding experience that enhanced their self-confidence, allowed them to gain valuable knowledge and improved their skills.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".