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Record W4402080923 · doi:10.33002/jelp040208

Environmental Protection and the Role of National Policies and Guidelines in Nigeria

2024· article· en· W4402080923 on OpenAlexvenueno aff
Brown Etareri Umukoro, Moses Ogorugba Omozue

Bibliographic record

VenueJournal of Environmental Law & Policy · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental planningBusinessEnvironmental resource managementEnvironmental protectionPolitical scienceEnvironmental healthGeographyEnvironmental scienceMedicine

Abstract

fetched live from OpenAlex

National policies generally are meant to guide the government in decision making towards the achievement of a specific result. In desiring to improve on the environment, the Nigerian government has put in place a number of legislation and formulated policies and guidelines on the environment. However, whether there is a corresponding result is a subject matter of concern for all advocates of the right to protected environment in Nigeria. The article seeks to explore the contribution of the National Policy on the Environment (NPE) and other guidelines for the protection of the environment in Nigeria especially considering that they are mere action plans and policy statements. The article observes that the NPE and the guidelines are very comprehensive, all-embracing and ambitious. However, there is a significant gap between the guidelines, the legislation and their implementation in Nigeria. The article observes that the implementation of the NPE and the relevant guidelines presents enormous challenges as a result of the weak constitutional source from which the guidelines and policies were derived. Besides, the article finds that the objectives of the guidelines and the NPE have not been satisfactorily achieved as a result of a number of other factors which include corruption, lack of partnership with non-governmental stakeholders, the challenge of overlap among the administrative bodies and failure of the government to provide an effective medium for involving the public in the negotiation of policies and strategies for the protection of the environment.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.011
Scholarly communication0.0100.005
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.247
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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