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Record W3048223650 · doi:10.1002/jtr.2400

Millennials are not all the same: Examining millennial craft brewery and winery visitors' social involvement, <scp>self‐image</scp>, and social return

2020· article· en· W3048223650 on OpenAlex
Jarrett R. Bachman, John S. Hull, Sanja Haecker

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

VenueInternational Journal of Tourism Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsCraftWineryDemographicsAdvertisingMarketingSocial mediaUSableTourismPsychologySociologyBusinessGeographyVisual artsArtPolitical scienceDemography

Abstract

fetched live from OpenAlex

Abstract The attraction of craft breweries and wineries for visitors to British Columbia (BC), Canada, has grown significantly in recent years, particularly within millennials. However, little research has been conducted. The present research surveyed millennial visitors across craft breweries and wineries in BC. A total of 359 usable surveys were collected. Results found that although craft brewery and winery visitors had similar demographics, significant differences were found in all three social factors measured. In addition, the conceptual relationships between social involvement and self‐image congruency, as well as social return, were significant. Recommendations and implications for researchers, marketers, and industry professionals are discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.176
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.093
GPT teacher head0.328
Teacher spread0.235 · 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