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Record W2008551607 · doi:10.5539/jsd.v7n5p111

Environmental Degradation and the Emergence of Agricultural Frontiers in the North West of Cameroon

2014· article· en· W2008551607 on OpenAlexvenueno aff
Humphrey Ngala Ndi, Amawa Sani Gur

Bibliographic record

VenueJournal of Sustainable Development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureEnvironmental degradationLivelihoodPlateau (mathematics)Land degradationEnvironmental changeEnvironmental protectionGeographyAgroforestryEcologyEnvironmental scienceClimate changeBiology

Abstract

fetched live from OpenAlex

Over the past 50 years, man has changed natural ecosystems more rapidly and profoundly than in any comparable period in history. In the developing countries, these changes have degraded livelihoods, provoking different responses from affected populations, the most common being out-migration. The study examines the environmental degradation on the Mbum sector of the Nkambe plateau, North West region of Cameroon, and the out-migration resulting from it. This is crucial in understanding the anthropogenic threats to farming in an area where agriculture is still rudimentary and crop yields turn to be very sensitive to environmental changes. The nature of environmental degradation and resultant migration were ascertained by analysing data acquired through suitable field and laboratory methods and techniques. Theses analysis revealed that soil impoverishments resulting from inappropriate land uses is the main environmental change on the plateau. The paper recommends the adoption of strong land use policies as a precursor to the modernisation of the farming system to reduce land colonisation, reduce out-migration and stabilise environmental conditions for sustainable agriculture.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.142

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.230
Teacher spread0.210 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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