An Assessment of the Relevance of Adekanye’s The Retired Military as Emergent Power Factor in Nigeria to Contemporary Nigeria
Bibliographic record
Abstract
This article assessed the relevance of Adekanye’s book titled “ The Retired Military as Emergent Power Factor in Nigeria ” to contemporary Nigeria. The eight chaptered book examined the growing power and influence of top retired military offi cers in Nigeria in every sector of the economy due to their wealth, ex-military connection, skill, prestige and experience. It posits that the military retirees are grouped into two contradictory categories, the growing rate of military retiree has been on the increase since 1966, the retired military are found virtually in every aspect of human endeavour and compete with those in the social group in political scene, and are fast emerging as new elite of power, with considerable infl uence in decision making that deals with issues of high politics. All these assumptions were correct except that few top military retirees have since 1999 emerged as the ruling elite and even though they are not physically in power now have to a great extent determined who occupied the site of power. The Peoples’ Democratic Party which is the leading political party have been greatly infl uenced by these rich and influential retired military officers who at all cost ensure that their candidates win the elections. With the appointment of a new INEC chairman, the review of the electoral act, and the campaign for free and fair election, it is believed that a new set of elite will emerge that will awaken political development in Nigeria. Key words : Adekanye; Nigeria; The Retired Military as Emergent Power Factor in Nigeria ; Political development Resume Cet article a evalue la pertinence du livre Adekanye a intitule “Le militaire a la retraite en tant que facteur de puissance emergente au Nigeria” pour le Nigeria contemporain. Le livre a huit chaptres examine le pouvoir et l’influence des croissantes des meilleurs officiers a la retraite au Nigeria dans tous les secteurs de l’economie en raison de leur richesse,l’ex-militaire de connexion, la competence, le prestige et l’experience. Il pose en principe que les retraites militaires sont regroupes en deux categories contradictoires, le taux croissant de retraite militaire a ete en hausse depuis 1966, les militaires retraites se retrouvent pratiquement dans tous les aspects de l’activite humaine et de rivaliser avec ceux du groupe social sur la scene politique , et sont en passe de devenir la nouvelle elite du pouvoir, avec une infl uence considerable dans la prise de decision qui traite des questions de haute politique. Toutes ces hypotheses etaient correctes, sauf que quelques top retraites militaires ont emerge depuis 1999 que l’elite dirigeante et meme si elles ne sont pas physiquement au pouvoir maintenant dans une grande mesure determinee qui occupaient le site de la puissance. Les peuples «Parti democrate qui est le principal parti politique ont ete fortement influences par ces riches et influents officiers a la retraite qui, a tout prix veiller a ce que leurs candidats a remporter les elections. Avec la nomination d’un nouveau president CENI, la revision de la loi electorale, et la campagne pour l’election libre et equitable, il est estime que d’un nouvel ensemble de l’elite emergera qui va reveiller le developpement politique au Nigeria. Mots cles : Adekanye; Nigeria; Militaire a la retraire comme puissance emergente au Nigeria; developpement politique
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".