Bibliographic record
Abstract
There has been studied the Geer Hofstede’s model, where business-cultures are classified into five main cultural dimensions, which by-turn influence on the management style: 1) power distance (PDI); 2) individualism vs. collectivism (IDV); 3) masculinity vs. femininity (MAS); 4) weak vs. strong uncertainty avoidance (UAI); 5) long vs. short term orientation (LTO). According to the G. Hofstede’s theory results it has been found out that Rumanian, Bulgarian, Turkish, Mexican cultures are similar to Ukrainian. British, Austrian, Swedish, Jamaican and Danish cultures differ from our culture most of all.According to the Fons Trompenaars and Charles Hampden-Turner’s model business-cultures can be classified into the following factors: 1) power centralization level; 2) power formalization level; 3) object of the management. These characteristics allow to determine such models: "Incubator", "Guided missile", "The Eiffel Tower" and "Family". The most striking representatives of the model "Incubator" are the USA and Canada, the model "Guided missile" – Anglo-Saxon and East European countries. The model "Family" have countries in Asia, South America, Southwest Europe and countries of the former Soviet Union, it means, that Ukraine also has such a model. The model "The Eiffel Tower" is typical for Germany and countries in Central Europe.With the help of the cross-cultural matrix proposed for Ukraine, there have been worked out some practical guidelines for five groups of countries how to conduct negotiations with Ukrainian partners: 1) India, Bangladesh, Vietnam, Taiwan, Malaysia, Indonesia, the Philippines, Japan, China, Korea, Singapore, Russia, Poland, Rumania, Slovakia; 2) countries of Bulgaria, England, Ireland, Denmark, Norway, Sweden, Finland, Germany, Holland, the Czech Republic; 3) the United Arab Emirates, Egypt, Turkey, Greece, Brazil, Mexico; 4) Australia, Canada, the USA; 5) France, Belgium, Italy, Spain, Hungary
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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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".