Komunikace s kanadským obchodním partnerem
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.
Bibliographic record
Abstract
Canada is very advanced economically and culturally diverse country, with a high standard of living of its people and beautiful natural wonders. At the time of globalization countries and cultures interfere in all areas of human activity, and Canada is of course a part of this process. Each enterpreneur who intends to establish a business relationship with Canadian business partner should be familiar with some cross-cultural differences in order to avoid potential conflicts and to communicate effectively with representatives of other cultures. The aim of my thesis was to gather information from available literature concerning cross-cultural differences and specifics of negotiations with the Canadians, and then analyze three specific examples of trade negotiations. The source of information for the analytical part was an in-depth interview with an executive director of a company, which cooperates with Canada. The acquired knowledge and advice can be helpful especially to traders who intend to go to Canada to negotiate with their Canadian business partners. My bachelor thesis may also serve well people who set out to Canada to study or as tourists.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it