MétaCan
Menu
Back to cohort
Record W2069950651 · doi:10.1300/j073v14n03_04

Positioning an Emerging Wine Route in the Niagara Region

2003· article· en· W2069950651 on OpenAlexaff
Atsuko Hashimoto, David J. Telfer

Bibliographic record

VenueJournal of Travel & Tourism Marketing · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsBrock University
Fundersnot available
KeywordsVisitor patternWineTourismWineryBusinessMarketingAdvertisingWine grapeGeographyArchaeologyComputer science

Abstract

fetched live from OpenAlex

Summary The Niagara Region is not only home to Niagara Falls but also home to an emerging wine route with more than 50 wineries. The Niagara Wine Route has two distinct clusters. The wineries in the east are in the tourist town of Niagara-on-the-Lake, which receives many international visitors while the wineries in the west are not typically on a tourist route and receive more domestic tourists. Through the results of a visitor survey at eight wineries, the paper will illustrate the different markets visiting the Niagara Wine Route and suggests possible implications for marketing strategies for this emerging wine route.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.243
Teacher spread0.221 · 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 designQualitative
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

Citations109
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Travel & Tourism MarketingSame topicWine Industry and TourismFrench-language works237,207