Understanding the Theoretical Foundations Underlying the Formalization of the Informal Economy
Bibliographic record
Abstract
The objective of this article is to contribute to the deepening of knowledge on the theoretical foundations of formalization, based on a literature review in order to identify the paths of formalization. The present analysis shows that working in the informal sector is a rationally motivated decision of the entrepreneur. One of the solutions lies in the efficiency of the services provided by the State, given that the payment of taxes does not give the right to a simultaneous counterpart. It also shows that both the state and the entrepreneurs benefit from cooperation. Thus, their relations must be governed by a optimal contractual relationship for the successful formalisation. It has also been shown that micro-enterprises are subject to inadequate legislation, hence the need to revise the legislation in force. Also, the lack of support from the financial system and training programs adapted to the specificities of the enterprises would constitute fewer factors of production. Thus, it is desirable to improve the access of informal entrepreneurs to these productive resources.
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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 | 0.001 | 0.000 |
| 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 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".