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Record W4410191841 · doi:10.1163/17087384-12340115

A Legal Critique of the Role of a Company Secretary in Corporate Governance in Nigeria

2025· article· en· W4410191841 on OpenAlexvenueno aff
Kenneth I Ajibo, Oluchukwu P. Obioma, Etoroabasi Godfrey Akpabio

Bibliographic record

VenueAfrican Journal of Legal Studies · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceInternational lawPolitical sciencePublic international lawLawLaw and economicsAccountingPublic administrationManagementBusinessSociologyEconomics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.236
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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