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Record W2060837552 · doi:10.5539/jsd.v2n2p73

Resort Potentials as a Strategy for Sustainable Tourism Development in Plateau State, Nigeria

2009· article· en· W2060837552 on OpenAlexvenueno aff
Eugene J. Aniah, E. I. Eja, Judith E. Otu, M. A. Ushie

Bibliographic record

VenueJournal of Sustainable Development · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismPlateau (mathematics)WildlifeTourist attractionNational parkGeographyRecreationState (computer science)SocioeconomicsSustainable developmentEnvironmental planningEnvironmental protectionEnvironmental resource managementPolitical scienceEcologySociologyArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

The unique climate conditions of Plateau State and the numerous tourism attraction and spots has made Plateau State the home of peace and tourism and also tourist haven of Nigeria. This paper is centered on five resorts in Plateau State such as National Museum, Jos Wildlife Park, ASSOP Falls, Pandom Wildlife Park and Solomon Lar Amusement Park. Data for resort patronage were provided only in National Musem, Jos Wildlife Park and ASSOP Falls. The critical issue of concerned was on domestic and international patronage of tourist resort between 1996-2008 and the recreational facilities provided in each of the resort centres. Data were collected base on questionnaires, directly field observation and interviews. The data collected were analyzed using ANOVA and the results obtained shows that there is a significance variation in the patronage of the different resorts centres used for this study. However, the viability of tourism potentials can only strive effective in Plateau State if there is full participation of the various stakeholders in decision making process.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.325
Teacher spread0.303 · 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 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

Citations13
Published2009
Admission routes1
Has abstractyes

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