Board Diversity in Terms of Gender: a Recommendation for Mauritius
Bibliographic record
Abstract
Abstract The increased presence of women on the boards of corporations is an international trend worth following by all countries. There are many good reasons for increasing gender diversity on boards have been evidenced by various studies such as better decisions, performance, and representation of the consumer base. However, the country of Mauritius has been lagging behind in terms of legislative initiatives to promote female representation on corporate boards. A study conducted by the Hay Group in association with the Mauritius Institute of Directors in 2015 supports this fact. The study seeks to identify the relative benefits behind the global trend of achieving gender diversity on corporate boards and on the factors that impact the representation of women on such boards. Some various kinds of regimes and initiatives that have been developed in some countries mainly Norway and the UK will be analysed to deal with the issue of underrepresentation of women on corporate boards. The purpose behind this research is to provide effective recommendations for Mauritius to achieve a greater level of gender diversity on corporate boards. The methodologies for the research are, in essence, comprised of the black letter approach which analyses the legal provisions relating to directors in Mauritius, Norway, and the UK. Journals, books, and reports amongst others will be also examined. The paper aims at responding to the research objectives set out above. In particular, a soft-law approach in terms of voluntary target and non-financial disclosure in terms of gender diversity status is suggested as a first step to resolve low representation of women on corporate boards in Mauritius.
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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".