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The Importance of Arabic Language in Malaysian Tourism Industry: Trends during 1999-2004

2009· article· en· W1903089675 on OpenAlex
Azman Bin Che Mat, Hj. Azman Bin Zakaria, Kamaruzaman Jusoff

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTourismArabicGovernment (linguistics)Political scienceBusinessLinguisticsLawPhilosophy

Abstract

fetched live from OpenAlex

The tourism industry in Malaysia has faced a new trend of Arab tourists’ influx since year 2000. The Arabs spend the highest amount of expenses of RM 5,000.00 per trip. This has given a big benefit for the country’s income. Unfortunately, Malaysia lacks psychological faculties, which is related to the language barriers to cater to Arab needs. The Deputy Tourism Minister has launched a programme to provide Arabic speaking students to serve in five star hotels in the city. This phenomenon clearly indicates a low concern of the tourism industry in providing skilful trainees in the tourism industry in Arabic language and at present there are no Arabic Language courses in tourism programmes to emphasize on the language skills at university level. This paper will try to share the importance of Arabic language skills in tourism industry and tourism program in HLI (Higher Learning Institution). In conclusion, it is hoped that the paper will give some insight to promote courses in Arabic Language Skills for government servants especially the police, customs and others in order to increase their levels of efficiency concerning the language. Key words: Tourism; Arab; Arabic Language; tourists Resume: L'industrie du tourisme en Malaisie a vu des afflux de touristes arabes depuis l’annee 2000. Parmi les touristes etrangers, les Arabes depensent le plus par voyage, soit un montant de 5,000.00 RM. Cela a donne un grand profit aux revenus du pays. Malheureusement, la Malaisie n'a pas de facultes psychologiques, ce qui est liee a la barriere de la langue pour repondre aux besoins des Arabes. Le vice-ministre du Tourisme, a lance un programme visant a fournir aux eleves qui parlent l'arabe une opportunite de travailler dans les hotels a cinq etoiles dans la ville. Ce phenomene indique clairement une faible preoccupation de l'industrie du tourisme dans l’offre des stagiaires competents en langue arabe, et a l'heure actuelle, il n'y pas de cours de langue arabe dans le programme de formation du tourisme, donc il faut mettre l'accent sur les competences linguistiques pour atteindre le niveau universitaire. Ce document va essayer d’etudier l'importance des competences en langue arabe dans l'industrie du tourisme et dans le programme HLI (Higher Learning Institution). En conclusion, il est a esperer que le document donnera une idee de promouvoir des cours de langue arabe pour les fonctionnaires, en particulier la police, les douaniers et d'autres personnels afin d'accroitre leur efficacite liee a cette langue. Mots-Cles: tourisme; Arabe; langue arabe; touristes

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.306
Teacher spread0.294 · 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