Theorising Entrepreneurship in the Informal Sector in Urban Brazil: A Product of Exit or Exclusion?
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
This article evaluates critically the competing explanations for informal sector entrepreneurship that read such endeavours to result from either ‘exclusion’ from state benefits and the circuits of the modern economy or the voluntary ‘exit’ of workers from formal institutions. Reporting evidence from a 2003 survey in urban Brazil, it is revealed that similar proportions of informal sector entrepreneurs explain their participation to result from their involuntary exclusion and voluntary exit from the formal economy. The outcome is a call to shift from an either/or to a both/and approach when explaining informal sector entrepreneurship and for wider research on the relative weightings given to exit and exclusion in different contexts so as to develop a socio-spatially contingent explanation for participation in informal sector entrepreneurship across the globe.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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