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Record W2188331500 · doi:10.5539/jsd.v9n1p1

Environmental Role of National Parks

2015· article· en· W2188331500 on OpenAlexvenueno aff
Molla Mekonnen Alemu

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessEndangered speciesWetlandNational parkEcosystem servicesNatural resourceEnvironmental resource managementEcosystemEnvironmental protectionEcotourismGeographyBiodiversityWilderness areaEnvironmental planningEcologyTourismEnvironmental scienceHabitat

Abstract

fetched live from OpenAlex

The natural ecosystems are endangered due to human behavior; the razing of forests is diminishing the world’s oxygen supply and potentially irreplaceable natural resources. Wetlands are being drained, eliminating breeding environments for millions of birds and reproducing grounds for fish; cherished fauna and flora species are being endangered from extinction. Clean water, clean air, access to food sources, buffers of weather events, cultural and spiritual values, and raw materials for consumers, are some of the ecosystem services that ensure the well-being of humanity. Well-managed protected areas are a proven mechanism in the protection and conservation of healthy ecosystems and the services they provide. National Parks are essentially planned to shelter the lasting "wilderness" of a given country and have principally dedicated on the maintenance of extraordinary areas or emblematic species. This paper is aimed at exploring the environmental role of national parks by having an extensive literature review and come up with recommendations which can help the conservation of national parks.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.354

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 studies0.0000.000
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 head0.043
GPT teacher head0.196
Teacher spread0.152 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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