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Record W6948166667 · doi:10.46222/ajhtl.19770720.515

The Leadership Role in Sustainable Community-Based Tourism Development Within a Rural Setting

2024· article· en· W6948166667 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsTourismSustainable developmentCommunity developmentPovertyQualitative researchSustainable tourismExploratory researchRural tourismSustainability

Abstract

fetched live from OpenAlex

The development of community-based tourism has seen many communities in rural areas take control of their economic well-being, social justice issues, and environmental integrity. In many quarters, this kind of freedom has been attributed to the availability of competent leadership that can mobilise the community and the resources endowed to the community. This study investigated the role of community leadership in the development of sustainable community based tourism. The study assumed a qualitative research approach that followed an exploratory design. The chosen approach employed semi-structured interviews of 15 respondents through a non-probability sampling technique to solicit data. The collected data was analysed using NVivo software version 12, producing a comprehensive observation report accompanied by word trees, word clouds, cluster analysis, and tree maps. The study's findings produced themes indicative of the community’s views concerning the role played by community leaders in the development of sustainable community-based tourism. These findings presented orations by respondents indicating contributions of community leaders in the development of sustainable community based tourism together with the shortcomings in terms of the leaders’ capacity and skills required to lead a community away from poverty and vulnerability.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.318
GPT teacher head0.431
Teacher spread0.113 · 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 teacher head, not a consensus.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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