Economic Contributions and Challenges of Immigrant Entrepreneurs to Their Host Country – Case of African Immigrants in Auckland, New Zealand
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
Entrepreneurship is an important concept in both developing and developed societies today. Although there is no consensus on the definition of entrepreneurship, it is believed to be a process of creating value by bringing together a unique package of resources to exploit entrepreneurship opportunities (Morris, 2002). This study aims to discover the economic contributions and challenges of immigrant entrepreneurs to their host country, and focuses on African small business owners in Auckland, New Zealand. Literature on immigrant entrepreneurship was reviewed, resulting in a discussion of the economic contributions of immigrant entrepreneurship as well as its challenges. Data was collected using face-to-face, semi-structured interviews, observation and field notes as the sources of inquiry. A purposive sampling technique was used to select 17 participants. All participants were African immigrant small business owners running businesses in Auckland. Thematic analysis was used to analyse the data collected (Braun & Clarke, 2006).
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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 | 0.003 | 0.001 |
| 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) | 0.000 | 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