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Record W2942075779 · doi:10.1344/ara.v1i1.18627

Tourism as a development strategy in Belize

2017· article· en· W2942075779 on OpenAlexaff
Doug Ramsey, John Everitt

Bibliographic record

VenueAra · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsBrandon University
FundersEmory University
KeywordsTourismTourism geographyEcotourismPoliticsGovernment (linguistics)State (computer science)Economic growthEconomyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Tourism is an economic activity that influences virtually every corner of the contemporary world. This study focuses on tourism development in Belize where in a short period of time the national government has shifted from virtually ignoring tourism to making it a national priority for economic development. This paper adopts an historical perspective to describe the political economy of tourism development in Belize in the latter half of the twentieth century. It begins by establishing a political economy framework for analyzing tourism development. With this in place, tourism in Belize is discussed through four major stages. The stages primarily reflect the role of the state with respect to tourism, which were in part established based on the attitudes toward tourism, tourism numbers, as well as on the development of tourism infrastructure within the country. In this sense, the paper is seen as a contribution to public policy that sees tourism as one means for economic development, but one that will be reliant on policy and economic initiatives that are external to local communities.

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)0.000
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: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.067
GPT teacher head0.404
Teacher spread0.336 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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