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Record W2559657293 · doi:10.5539/jsd.v9n6p194

The Role of Beach Tourism in Sustainable Living of Rural Families: A Study in Mahmoud Abad Township, Iran

2016· article· en· W2559657293 on OpenAlexvenueno aff
Alireza Khajehshahkouhi, Bahman Sahneh, Seyedeh Khatereh Mousavei

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismSocioeconomicsGeographyStandard of livingDescriptive statisticsSociologyPolitical scienceArchaeologyStatisticsMathematics

Abstract

fetched live from OpenAlex

The purpose of the present study is to evaluate the role of beach tourism in sustainable living of rural families of the Mahmoud Abad Township that this study from the manner of goal is applicable-developmental and is based on the descriptive-survey method. The required data in this research regarding the type of method, is collected as a questionnaire that the people under study in this section are the total families inhabiting the beach villages in the area that the volume of the people under study has been selected using the Cochrane formula as 369 individuals and the field data were collected by the standard questionnaire. The results gathered were analyzed using the statistical examinations of Freedman, one-sided Chi-square, Wilcoxon, spearman, Kendal and Kramer. In the economic analysis section regarding all aspects we have come to this point that beach tourism has influenced the economic aspect of the lives of inhabitants and has improved their economic condition up to a point. Regarding the social and cultural state and with evaluation of related issues to this section, the state of being effected from non-native cultures and the culture of inhabitants being influenced has been evaluated and in relation with environmental circumstances regarding the observations and the state of the area and utilizing the statistical examinations of Wilcoxon results, it should be stated that environmental changes has occurred in a negative way in beaches after tourists’ arrival.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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
Published2016
Admission routes1
Has abstractyes

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