Bibliographic record
Abstract
This master’s thesis examines Czech-Canadian cultural standards in formal relations, with a focus on professional, academic, and institutional environments. The aim of the thesis is to identify the main cultural differences between the Czech Republic and Canada, describe their manifestations in formal interactions, and explain how these differences influence intercultural communication. The theoretical part draws on intercultural communication frameworks and cultural dimensions defined by Hofstede, Hall, and Trompenaars & Hampden-Turner, which provide the basis for analysing communication patterns in both cultures. The practical part is based on a qualitative research design using the method of critical incidents among Czech and Canadian respondents, supplemented by quantitative data from the VSM questionnaire. The findings indicate that the key differences include direct versus indirect communication styles, divergent approaches to formal procedures, varying expectations regarding small talk, culturally distinct ways of expressing feedback, and different perceptions of hierarchy and authority. Czech respondents tend to view Canadian communication as polite, cautious, and structured, whereas Canadian respondents describe Czech communication as direct, efficient, and pragmatic. These cultural differences significantly affect the dynamics of formal intercultural communication. The thesis concludes with practical recommendations that may help improve the effectiveness of Czech-Canadian cooperation.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".