Identity Construction in Conditions of Poverty: How Necessity Entrepreneurs Shape Who They Are
Bibliographic record
Abstract
While the myth of the entrepreneur equates financial wealth with success, the reality for many entrepreneurs is that they operate in contexts of poverty with limited opportunities for significant financial gain. How, then, can entrepreneurs in contexts of poverty create a successful entrepreneurial identity? To answer this question, we use an inductive qualitative approach based on single and repeat interviews with 45 small coffee farmers in rural southwestern Colombia and field data from a three-day workshop with an additional 37 farmers. We find that the farmers in our sample were socialized into an alternative system of worth that leveraged culturally available resources despite materially poor conditions. They shield their alternative system of worth from global market imposition and are able to craft a fulfilling entrepreneurial identity that is distinct from Western ideals and that, in some cases, has emancipatory effects. As a whole, our study identifies a territorialized approach to identity construction and points to a model for entrepreneurial organizing that eschews market hegemony while embracing pluralistic institutional influences.
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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 | 0.000 | 0.000 |
| 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 | 0.004 |
| 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".