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Record W2150795194 · doi:10.5430/bmr.v3n1p41

Is Informal Sector Entrepreneurship Necessity- or Opportunity-driven? Some Lessons from Urban Brazil

2014· article· en· W2150795194 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueBusiness and Management Research · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsHumber College
Fundersnot available
KeywordsInformal sectorEntrepreneurshipBusinessEconomic growthEconomicsFinance

Abstract

fetched live from OpenAlex

The aim of this paper is to evaluate critically the widely-held assumption that entrepreneurs operating in the informal sector in developing nations are largely necessity-driven entrepreneurs, pushed into this entrepreneurial endeavour as a survival strategy in the absence of alternatives. Reporting an extensive 2003 survey conducted in Brazilian urban areas of informal sector entrepreneurs operating small businesses with less then five employees, the finding is that under half of the surveyed entrepreneurs are driven out of necessity into entrepreneurial endeavour in the informal economy. The outcome is a call to recognize the prevalence of opportunity-drivers amongst entrepreneurs operating in the informal economy and to reposition informal sector entrepreneurs more centre-stage in discussions of entrepreneurship and enterprise development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.187
GPT teacher head0.338
Teacher spread0.151 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it