Analysis of an Entrepreneurial Ecosystem in Northern Haiti to Stimulate Innovation and Reduce Poverty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Northern Haiti, a unique experience has been developed and an innovation hub has been realised; the core of this is a City of Knowledge that is articulated around an entrepreneurial university, the Institute of Science, Technology and Graduate Studies of Haiti (ISTEAH). Spread over seven departments in the country, as its name suggests, ISTEAH is a technological university that seeks to put science and technology at the service of development by training citizens, leaders and innovators who can promote the advancement of the country. Resolutely turning towards entrepreneurship, this university is in the process of setting up an entire entrepreneurial ecosystem centred around an incubator-accelerator to create—with students, graduates and young people from around the country—technological and social enterprises to generate value, create wealth and jobs and support sustainable development. In this article, this experiment and its perspectives are analysed in light of the sustainable development goals.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.000 | 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 it