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Record W2906085975

The B&B sector in Nova Scotia: Some preliminary evidence from Tripadvisor reviews

2018· article· en· W2906085975 on OpenAlexaffabout
Paulette Cormier-MacBurnie, Peter Mombourquette, Gary Sneddon, Jeffrey D. Young

Bibliographic record

VenueSmall Business Institute Journal · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsNova scotiaNova (rocket)Government (linguistics)TourismBusinessAdvertisingMarketingPsychologyGeographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

The following paper examines small accommodations firms, specifically 190 B&B operations in Nova Scotia, Canada in terms of recent online reviews on Tripadvisor. In particular the paper initially provides an overview of the bed-and-breakfast (B&B) sector in terms of select characteristics. It then examines Tripadvisor reviewers’ ratings in terms of Tripadvisor’s six sub elements, overall star ratings provided by Tripadvisor itself, and B&B participation in a provincial-government tourism program and a national star-rating system for accommodations. The extent to which B&B owners/managers respond differentially to poor and terrible reviews relative to very good and excellent reviews is also considered. Relationships between B&B prices and Tripadvisor reviewer overall ratings, Tripadvisor star ratings, the reviewers’ rating of the six attributes, and tendency of owners/managers to respond to Tripadvisor are also examined. Lastly, implications of the findings for the B&B sector are discussed along with limitations to this study and directions for future research.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.006
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.097
GPT teacher head0.265
Teacher spread0.169 · 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 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

Citations2
Published2018
Admission routes2
Has abstractyes

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