Can Country Image Change after Likable Incident? The Case of Chile Miners’ Rescue Operation and the Middle East Consumers
Bibliographic record
Abstract
Country image plays a key role in influencing consumers’ perceptions towards products originating from foreign countries. Economic and commercial relations between countries in the Middle East region and South America have improved strongly in the last decade. However, there is a dearth of studies conducted in the Middle East countries regarding products sourced from South American countries. This study aims to explore how Chile miners’ rescue operation has been perceived by Jordanians and how it has influenced the country image of Chile. The study examines the influence of demographic variables and openness to other cultures on the attitudes of Jordanian consumers towards Chile miners’ rescue operation. A survey was conducted in the spring of 2011 to collect data from Jordanian consumers. Data were collected from 154 Jordanian customers. The results showed that Chile miners rescue operation has been admired most by Jordanian consumers who live in the capital of the country and by Jordanians who are more opened to other cultures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".