MétaCan
Menu
Back to cohort
Record W2099819351

밴쿠버 레스토랑을 통해 본 해외 한국 레스토랑의 글로컬화 전략

2011· article· ko· W2099819351 on OpenAlexaboutno aff
정형지

Bibliographic record

Venue한국외식산업학회지 · 2011
Typearticle
Languageko
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsGlocalizationInterpretation (philosophy)AdvertisingFood cultureCultural exchangeMarketingBusinessSociologyPolitical scienceGlobalizationAnthropology
DOInot available

Abstract

fetched live from OpenAlex

This study attempts to explore the strategies of glocalization of overseas Korean restaurant with Vancouver restaurants. For the purposes, the study closely inquires into Vancouvers restaurants to derive strategies for glocalization of Korean foodservice industry. As a true mecca of gourmet food from all over the world, Vancouver is considered one of the leaders of global culinary culture. Vancouvers popular restaurants are also the citys hot spots for exchange of cultural values and social interactions, and many of their famous chefs share their own cultural experiences and traditions through their tasty creations. These chefs utilize fresh, organic, local, and seasonal ingredients along with their traditional cultural techniques to create breathtakingly tasteful cuisines unique to Vancouver. Toward glocalization of Korean food, this study suggests creating culinary fusion between Korean culture and those of the global world through accurate interpretation of regional cuisines and utilization of fresh and local ingredients. Also, Korean People has to develop glocal cultural awareness, and brand-chefs should be trained by a public institution.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.006

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 head0.085
GPT teacher head0.312
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venue한국외식산업학회지Same topicNutrition, Health and Food BehaviorFrench-language works237,207