Determinants of under-Representation of Women on Boards of Directors: an Exploratory Study of African Public and Private Firms
Bibliographic record
Abstract
The underlying causes for the low representation of women on board directorships has been the subject of considerable research when viewed in the context of North American, European and Asian economies and markets. In Africa, very few studies exist that examine this reality even if the socio-economic situation increasingly requires it. Indeed, women are a pillar of the social and economic life of African countries, as they constitute the equilibrium point of family stability and contributors to various essential economic activities alongside men in their community and country. This central role of African woman in all civic endeavours stands in stark contradiction to their general absence on the Board of Directors of most African companies. Although a recent ADB study indicates that the percentage of African women on boards is higher than on some other continents’ nonetheless, the fact remains that this low representation is astonishing. This research aims to understand the cause and effect relationship and to identify the determinants of this low representation of women as sitting board members. It is based on semi-structured interviews with women who are voting members on existing Boards of Directors of large firms in the public and private sectors. It shows that the low representation of women in boardrooms is explained more by socio-cultural factors rather than any organizational flaws or personal issues with these women.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".