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Record W2893397641 · doi:10.5539/jsd.v11n5p212

Cross River National Park and Communities: Is Authoritarian Park Protection the Answer?

2018· article· en· W2893397641 on OpenAlexvenueno aff
Oliver O. O. Enuoh, Augustine Ugar Ogogo

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsnot available
FundersUniversity of Reading
KeywordsNational parkLivelihoodGeographyBuffer zoneEnvironmental resource managementBiodiversityEnvironmental planningEnvironmental protectionAgricultureEcologyEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

Cross River National Park (CRNP) is a rainforest biodiversity hotspot and region of species endemism in Nigeria. It has solid minerals, valuable timber, assorted fauna species, rich agricultural lands, medicinal plants and several other plant species that are new to science. The formal establishment of the park in 1991 was anchored on the global ecological importance attached to the region. Instead of implementing the resettlement of enclave communities and a 7 year livelihoods program, as was originally proposed in the park management plan (prepared by WWF and ODNRI in 1989), the park has been concentrating on authoritarian protection as park management strategy. Using a combination of document research, participatory rural appraisal techniques and rural livelihoods survey, the study assesses the effectiveness of authoritarian protection in the midst of economic and ecological contestations in CRNP. Findings reveal that donor partners abandoned CRNP in 1995 without implementing the resettlement and buffer zone livelihoods program. This led to the explosion of commercial bush meat hunting activities in the park (despite authoritarian protection). The paper argues that authoritarian protection alone cannot save biodiversity in CRNP. It presents the perspectives and conservation standpoints of buffer zone communities on the bush meat crisis and how to address it in CRNP. It highlights the need for the creation of arenas for finding common ground on all contentious issues threatening biodiversity conservation in CRNP, the need to revisit the drawing board and donor return, and the present and future dangers facing CRNP if nothing is done.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.228
Teacher spread0.209 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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