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Record W2531757751

Student Independent Projects: Tourism Studies 2013

2013· article· en· W2531757751 on OpenAlexaboutno aff
Akua Anyemedu, Wendy Brake, Jessica Greenwood, Chelsea Kohli

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHospitality and Tourism Education
Canadian institutionsnot available
Fundersnot available
KeywordsTourismRecreationEntertainmentHospitalityTourism geographyPublic relationsMarketingPolitical scienceEmpirical researchBusiness
DOInot available

Abstract

fetched live from OpenAlex

The B.A. in Tourism Studies program offered at Grenfell Campus, Memorial University of Newfoundland prepares and positions students for exciting, competitive and successful careers in a wide range of vocations that manage, influence and direct tourism at all levels including lodging, food services, transportation, meetings and conventions, special events, entertainment, sports and recreation, heritage and culture, public policy and administration, international relations, and information communications and technology (ICT). Tourism 4950 - Special Project in Tourism, an important component of the Tourism Studies program is available to students who have completed 78 credit hours, and have officially declared a Major in Tourism Studies, a Minor in Tourism Studies, or have been accepted into the Advanced Diploma Program in Tourism Studies. Under the guidance of a faculty member, a student completes an independent research project and produces a report. The project topic must have the approval of the Chair of the Tourism Studies program. The collection of projects undertaken by the students in the Advanced Diploma and B.A. in Tourism Studies program reflects the multisectoral nature of the tourism industry and the invaluable knowledge and experiences the students have acquired. The projects underscore the interdisciplinary, comparative and international approach, dealing with both theoretical aspects and empirical case studies in the tourism industry.
\nJessica’s Greenwood’s main focus of the paper is on the roles that Hospitality Newfoundland and Labrador (HNL) plays in the tourism industry since its establishment in 1983 in the province of Newfoundland and Labrador. The paper highlights the interdependence, interrelationships and partnerships that exist among some of the institutions in spite of the differences in their geographical levels of operation. Wendy Brake’s research explores and describes the growth of tourism in Port au Port, Lark Harbour and Sally’s Cove communities of Western Newfoundland She also discusses the potential negative impacts that an oil and gas industry, if developed, could have on the tourism industry. Akua Anyemedu’s paper analyses and discusses the roles of some selected institutions in sustainable tourism development in Ghana. The major finding is that the communities epitomize the paradigm shift in sustainable tourism development and the institutions supporting them have also pointed them in the right direction of development. Chelsea Kohli’s paper discussed the negative and positive impacts of Iceland’s nature-based tourism industry and provided recommendations for improvement. The research identifies Iceland’s greatest weaknesses are in its planning and management, while its strengths lie primarily in its marketing and advertising sector.
\nIt is quite remarkable that the Tourism Studies program has reached this important milestone in six years. On behalf of the faculty of Tourism Studies, I congratulate all the students who have successfully completed the Special Project in Tourism and wish them a future without boundaries and every success in their endeavors. The advisory and administrative support provided by Dr. Sandra Wright and Krista Hansen-Robitschek, Head and Secretary of the Division of Social Science respectively, are deeply appreciated. Dr. Edward Addo deserves commendation for supervising the projects undertaken by Jessica Greenwood, Wendy Brake and Akua Anyemedu. My didactic experiences have been enhanced by supervising the project undertaken by Chelsea Kohli.
\nRoselyne Okech

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
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
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.042
GPT teacher head0.278
Teacher spread0.236 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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