MétaCan
Menu
Back to cohort
Record W2614801041 · doi:10.31186/jenggano.1.2.64-73

ANALISIS KESESUAIAN EKOWISATA MANGROVE DESA KAHYAPU PULAU ENGGANO

2016· article· en· W2614801041 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJURNAL ENGGANO · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMangroveMangrove ecosystemEcotourismGeographyBiotaTidal flatEnvironmental scienceForestryEcologyTourismGeologyBiologySedimentArchaeology

Abstract

fetched live from OpenAlex

The purpose of this study was to identify the potential of mangrove ecosystems as mangrove ecotourism objects and calculate suitability mangrove ecotourism in the village Kahyapu Enggano . This research was conducted using survey methods, measurements in the field and ecological suitability determination based on the multiplication of weights and scores obtained from any of the parameters consisting of five parameters: the thickness of the mangrove , mangrove density , types of mangrove , tidal and biota object . Mangrove ecosystem in the Village Kahyapu Enggano has the potential to be developed as an ecotourism mangrove . Based on the results, the results of IKW ( Travel Suitability Index ) at the stations I 60 % category S2 (Match ) , Station II 66 % category S2 (Match ) and Station III 71 % category S2 (Match ).

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.302
Teacher spread0.282 · 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