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Record W2893975024 · doi:10.5840/envirophil201892879

Environmental Deficit and Contemporary Nigeria

2018· article· en· W2893975024 on OpenAlexvenueno aff
Ronald Olufemi Badru

Bibliographic record

VenueEnvironmental Philosophy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsArgumentation theorySustainabilityLegitimacyEnvironmental ethicsSociologyDemocracyEnvironmental degradationPolitical scienceLawEpistemologyEcology

Abstract

fetched live from OpenAlex

Three groups of claims frame this article. First, the Nigerian State is largely enmeshed in environmental deficit, given the substantial oil pollution in the Niger-delta area, the problem of erosion in the Southeast, the filthy status of the Southwest, and the incessantly worrying perturbation of the ecological stability in the Northern part of Nigeria. Second, the political leadership in Nigeria for years has not really given genuine policy priority to, and, on this model, developed a credible framework that the citizenry could buy into to sustainably address the causes and the consequences of the environmental deficit. Third, given the foregoing, this work suggests a re-thinking/re-discussion of approach to the environmental deficit. Drawing on and integrating some relevant ideas, values, and virtues in African metaphysics, epistemology, and ethics, the article develops a framework, prescribing how the democratic leadership and the citizenry ought to act in sustainably addressing the environmental deficit. Beyond the philosophic foundations, the framework is also teleologically political: (i) it emphasizes that the moral legitimacy of democratic leadership in Nigeria partly derives from its commitment to the good of the built and the natural environment, and (ii) it also stresses that the citizenry could only be good moral agents, as eco-citizens, if they develop the virtues of environmental responsibility and responsiveness, by theoretically and practically supporting the good of the built and the natural environment. The research methods of critical analysis of empirical data and reflective argumentation are adopted to pursue the goals of the work.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.246
Teacher spread0.214 · 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.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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