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Record W2809545603 · doi:10.5539/enrr.v8n3p1

Traditional Biodiversity Conservation Strategy As A Complement to the Existing Scientific Biodiversity Conservation Models in Ghana

2018· article· en· W2809545603 on OpenAlexvenueno aff
Dickson Adom

Bibliographic record

VenueEnvironment and Natural Resources Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityBiodiversity conservationMeasurement of biodiversityConservation psychologyEnvironmental resource managementEnvironmental planningBusinessConservation biologySociology of scientific knowledgeGeographyEcologySociologyEnvironmental scienceBiologySocial science

Abstract

fetched live from OpenAlex

Biodiversity management in Ghana has been largely driven by scientific conservation models. The time-tested and useful traditional conservation ethos in the Ghanaian cultural and artistic elements such as festivals, proverbs, cosmological belief systems and taboos are often watered down by conservationists in biodiversity conservation schemes. This is due to conservationists’ lack of clear-cut guidelines on how to effectively utilize the traditional knowledge systems in complementing the scientific conservation models they are well versed. The developed traditional biodiversity strategy was based on the findings from a robust phenomenological study conducted among purposively and randomly sampled key stakeholders in biodiversity management in the Ashanti Region of Ghana. The document aims at offering comprehensive information and guidelines to conservationists on effective ways of implementing traditional knowledge systems in biodiversity conservation issues in Ghana. It ultimately aims at filling the dearth in traditional knowledge systems that have been an age-long problem for the conservation ministries and agencies in Ghana. The informative directions in the developed traditional biodiversity strategy would offer another lens to addressing conservation issues in Ghana while acting as a viable complement to the scientific models. This would ultimately maximize and enrich the conservation strategies for managing Ghana’s biodiversity.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.147
GPT teacher head0.294
Teacher spread0.147 · 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; both teacher heads agree on what is shown here.

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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