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Record W2119213889 · doi:10.1177/135676670401000405

Canadian domestic travel behaviour: A market segmentation study of rural shoppers

2004· article· en· W2119213889 on OpenAlex
Barbara A. Carmichael, Wayne W. Smith

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal Of Vacation Marketing · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMarket segmentationDemographicsBusinessTourismMarketingRural tourismNiche marketRural areaDomestic tourismAdvertisingGeographyTourism geography

Abstract

fetched live from OpenAlex

Rural shopping is emerging as a tourism market that is under-researched and offers potential for the economic development of rural regions. Therefore, the purpose of this paper is to investigate the role and importance of the domestic rural shopping market in Canada as a ‘niche’ market in rural tourism, and to provide a description of the characteristics of rural shoppers. Secondary data analysis of the domestic Canadian Travel Survey (1998-2001) reveals that there are many rural visitors who also participate in shopping, and that rural shoppers display different characteristics from average Canadian domestic travellers. Market segmentation using cluster analysis identifies five activity-based groups that differ on the basis of demographics and trip characteristics.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.342
Teacher spread0.322 · 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