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Record W66098592

Country image determinants: Canada’s image in the Republic of Croatia

2007· article· en· W66098592 on OpenAlexaboutno aff
Vatroslav Škare, Đurđana Ozretić Došen, Zoran Krupka

Bibliographic record

VenueRePEc: Research Papers in Economics · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsImage (mathematics)GeographyPolitical scienceComputer visionComputer science
DOInot available

Abstract

fetched live from OpenAlex

Country image has been a challenging area of interest to scientists and marketing professionals for years. Results of a number of comprehensive research projects support assumptions on the importance of the impact that country image has on the decisions of consumers and businessmen with respect to the choice of products, services, business partners, markets, as well as tourist and foreign investment destinations. Knowledge of the determinants of the country image construct, their nature, intensity, direction and of the possibilities of their effective management is necessary indeed for strategic marketing reflection and action.The first part of the paper provides an overview of some international and local theoretical contributions. It was compiled in the chronological order to include the most interesting of such contributions, in the authors’ opinion, in which research objectives focus predominantly on identifying the source, nature, content, number and interdependence of different country image construct determinants. The second part describes research on Canada’s image that was conducted among the student population. Canada’s overall image was assessed on the basis of applied methodology. The estimated values of individual dimensions of Canada’s image were also determined in comparison to the estimated importance of individual country image dimensions in general. The level of the respondents’ active knowledge of Canada was analyzed by examining the content of their associations. Two hypotheses were tested. Despite limitations, results support the findings of previous research that had proven the multidimensionality of the country image construct, and the dependence of the value of its dimensions on the level of consumers’ and businessmen’s knowledge on and experience of a specific country.

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)0.003
metaresearch head score (Gemma)0.000
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 score0.508
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.267
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2007
Admission routes1
Has abstractyes

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