DIŞ TİCARET VE GİRİŞİMCİLİK PERSPEKTİFİNDE TÜRKİYE'DE RİSK SERMAYESİ
Bibliographic record
Abstract
No doubt, globalization has become one of the most important progresses that deeply affect the world beginning from the last quarter of the 20th century. Globalization movements have showed their effects clearly on economic area as well as socio-politic and cultural areas. Especially, new techniques have been developed related to the financial and foreign trade areas, according to this, big increases both in absolute volume of and in proportions of international trade have been observed. At this point, the main analysis area of our study, foreign trade, technology finance in Turkey and in the World, research and development process and venture capital. While these analyses are made, comparisons which are based on the related parameters for Turkey and related countries are made. However, aiming to make venture capital as a tool for financing investment in the future, venture capital which is new in Turkey is analyzed deeply based on its usage process and its intuitions
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.008 |
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".