A Legal Critique of the Role of a Company Secretary in Corporate Governance in Nigeria
Bibliographic record
Abstract
Abstract A company secretary was traditionally viewed as a mere servant with no more than a clerical and administrative role. However, that narrative has shifted with the plethora of statutory and judicial recognition of the secretary as an officer of a company with clearly defined roles. A company secretary is expected to function as a corporate governance officer in addition to handling secretarial and administrative tasks. This expanded position requires wider professional skills and competencies to handle evolving duties. In Nigeria, the company secretary is controlled by the board of directors, which has the power to hire and fire under the Company and Allied Matters Act (CAMA) 2020. This paper critically analyses these responsibilities and strict restrictions imposed by the CAMA on a company secretary. It uses a doctrinal approach to argue that the tendency of the secretary to protect the board’s interests at the expense of stakeholders is a serious flaw in Nigerian company law. Comparatively, the role of the company secretary in the United Kingdom is more balanced and established than in Nigeria. The paper recommends the amendment of the CAMA to make the company secretary more independent and effective to achieve the company’s primary objectives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".