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Record W1671187138

Environmental Policy and Caribbean Tourism

2009· article· en· W1671187138 on OpenAlexvenueno aff
Quinelle-Marie Kangalee

Bibliographic record

VenueCaribbean dialogue · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismEcotourismAgricultureProduct (mathematics)Natural resourceScale (ratio)BusinessSustainable tourismEconomicsSustainable developmentEconomyNatural resource economicsInternational tradeEconomic policyDevelopment economicsEconomic growthPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

On a global scale, over the past two decades, there has been a general expansion in trade in services. Services or the ' invisibles' sector as it is also known, accounts for a large portion of CARICOM exports, and it is predicted that this will increase as the global economic arena is increasingly put under pressure for survival. These economies, which according to Chaitoo (2008), now facing declining competitiveness in their traditional products and are undergoing the removal of preferential trade regimes, have focused largely on the growth of the tourism sector within this large services arena, perhaps even to the detriment of the development /growth in other services. passage from exclusive dependence on primary product extraction and agriculture to a strategy which emphasises tourism is a common story in the Caribbean. The impact of tourism on both humans and natural setting has led to diverse initiatives to establish global and regional regimes governing sustainable tourism and ecotourism. (Gordon 2007: 38)

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.446
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.005
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.015
GPT teacher head0.292
Teacher spread0.276 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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