Kształtowanie się i organizacja przestrzenna korporacji ponadnarodowej Honda
Bibliographic record
Abstract
Considering the market value of the company in Business Week ranking “The Global” for the years 2003–2005, Honda Motor was fluctuating around the 100th place. In 2005 the value of the corporation increased in relation to the previous year and equaled $51, 96 billion. However, in the car corporations category, Honda Motor is ranked second, after Toyota Motor (with market value $158.20 billion), and the third car corporation Daimler Chrysler is worth $51,28 billion.The origin of the Honda corporation dates back to the 1920’s, when Soichiro Honda (1906–1991) started producing motorbikes during the post-war crisis period. In March 1948, he was joined by Takeo Fujisawa (1915–1989) with whom Soichiro Honda founded Honda Motor Corporation. Contemporarily, the organizational structure of the Honda Corporation is based on multilevel management. At present, the organizational basis is six Regional Offices, located all over the world, subject on executive level to the Chairman of the Board and ten directors. The company’s headquarters is in Tokyo, but it has its production and distribution branches located in Japan, USA, Canada, Mexico, GB, France, I taly, Spain, India, Malaysia, Pakistan, Philippines, Taiwan, Vietnam, Brazil and Turkey.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".