An Empirical Study on Restrictive Laws and Regulations Affecting Women’s Economic Participation
Bibliographic record
Abstract
The global emphasis on women's economic participation has grown significantly due to its vital role in promoting macroeconomic stability and advancing financial inclusion. Involving women in economic activities is essential for achieving Sustainable Development Goals, such as poverty alleviation and closing gender gaps. However, a range of regulatory, cultural, and structural barriers continue to hinder women’s ability to participate in the mainstream economy. This study aims to examine the impact of restrictive laws and regulations on women’s economic participation within the BRICS bloc. Women’s economic participation has been examined through three key dimensions: paid employment, political representation, and entrepreneurship. The findings suggest that the removal of restrictive laws and regulations is associated with increased levels of women's economic participation. It is important to acknowledge that while BRICS countries have made significant strides in dismantling legal barriers affecting women, substantial obstacles remain from both legal and regulatory perspectives that hinder women’s engagement in economic activities. Therefore, the study recommends that BRICS nations prioritize the complete removal of restrictive laws and regulations impacting various aspects of women's lives, including mobility, pay, marriage, and entrepreneurship.. Furthermore, ensuring a gender-equitable distribution of resources should be a central focus in policymaking to ensure that no one is left behind in the development agenda, particularly women and children.
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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".