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Record W2353496750 · doi:10.32920/22183726.v1

Malta’s Tourism Policy: Standing Still or Advancing towards Sustainability?

2023· article· en· W2353496750 on OpenAlexaff
Rachel Dodds

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTourismSustainabilitySustainable tourismElitePoliticsTourism geographySustainable developmentBusinessPolitical scienceEnvironmental planningEconomic growthGeographyEconomics

Abstract

fetched live from OpenAlex

As with most warm water islands, Malta’s tourism has been historically focused on ‘sun, sea and sand’ package holidays. As a result, the ratio of visitors to locals has expanded very quickly and the strain on infrastructure from too many tourists is evident. As do other small islands, Malta also suffers from an absence of pluralism amongst the politicaleconomic elite and a familiarity between voters and politicians, thereby creating barriers to implementing successful policies. Through an examination of how successful tourism policy implementation has been to date, this paper examines Malta’s tourism development as it relates to sustainable tourism. The paper addresses the economic, social and political implications of tourism development as well as discusses barriers to implementing a tourism policy specifically geared to sustainability. The paper concludes by providing insights into sustainable tourism policy implementation issues for other island destinations.

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)0.004
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: none
Teacher disagreement score0.215
Threshold uncertainty score0.428

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0110.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.366
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 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

Citations31
Published2023
Admission routes1
Has abstractyes

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