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Record W1782269260 · doi:10.4236/gep.2015.37004

Instauration of Geopark Pilot: Preliminary Approach in Implementation Process of Geoconservation at Isalo National Park, Madagascar

2015· article· en· W1782269260 on OpenAlexaff
Hasina Nirina Randrianaly, Tsilavo Raharimahefa, Aroniaina Rajaonarivo, Andrea Di Cencio, Daniel Haja Tolimasy

Bibliographic record

VenueJournal of Geoscience and Environment Protection · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeotourism and Geoheritage Conservation
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsGeoparkGeodiversityGeotourismNational parkNatural heritageGeographySustainable developmentNatural resourceEnvironmental planningBiodiversityEnvironmental resource managementEnvironmental protectionTourismEcologyArchaeologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Although Madagascar has long been recognized as a biodiversity hotspot for conservation, very little is yet known about its diverse endemic fossils and the original beauty of its geotopes. The richness and endemicity of geodiversity constitute nonrenewable natural resources, which deserve to be valorized and protected. Protection of natural heritage resources, aligned with geotourism, can provide a sustainable way for the population to rise out of poverty. The main purpose of this work is the instauration of Geopark, a long-term project in Madagascar National Parks to support geotourism and sustainable development. Given its outstanding landscape and its unique bio- and geo-diversity, we adopt Isalo Park as a pilot site, and suggest that this specific area is suitable for a Geopark. Following our field investigation, inventory and geodiversity assessments within the park are now underway, which will contribute to the implementation of Isalo Geopark.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.045
GPT teacher head0.240
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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