MétaCan
Menu
Back to cohort
Record W2592874559

Career Strategies Of Hotel Managers In Canada

2016· article· en· W2592874559 on OpenAlexaffabout
Candace Blayney, Karen Blotnicky

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHospitality and Tourism Education
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsHotel industryWork (physics)RevenueCareer developmentMarketingPersonalityHospitality industryBusinessPublic relationsWork experiencePsychologyPolitical scienceEngineeringTourismAccountingSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to explore career strategies used by hotel managers in Canada. An online survey was conducted of 60 hotel general managers across Canada, including 30 male and 30 female respondents. The results indicated that gaining experience and mentoring are the main strategies used for career advancement for men and women. Gaining experience was obtained by asking for challenging projects and moving properties. Some personality factors were identified as “willingness to learn†and “determination†. This study allows a better understanding of how men and women develop their careers in the Canadian hotel industry, an important one consisting of over 8,000 properties and generating revenues of $16.7 billion in 2013 (PKF, 2014). The Canadian hotel industry has little scholarly research. Further research into how work experience can be leveraged more efficiently into career building strategies and how personality factors impact career development is required

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicHospitality and Tourism EducationFrench-language works237,207