STATISTICAL ANALYZE OF APEC COUNTRIES AND TURKEY IN TERMS OF KNOWLEDGE SOCIETY INDICATORS AND SOME FINDINGS
Bibliographic record
Abstract
In this study six variables were used which are related about knowledge society and calculated by World Bank. These variables are Knowledge Economy Index (KEI), Knowledge Index (KI), Economic Intensive and Institutional Regime, Innovation System, Education and Human Resources, Knowledge and Communication Technologies. Study includes twenty APEC countries and Turkey. As a method, hierarchical cluster analysis was used. Probability of correct classification was evaluated by discriminant analyze.For the year 2012 world ranking for information society indicators index, Turkey rank is 69. According to the results of the study China, Mexico, Malaysia, Peru, Russian Federation and Thailand are in the same cluster with Turkey. In addition, Australia, New Zealand, Canada, Taiwan, USA, Japan, Korea Republic, creating another cluster, Hong Kong, Singapore and Chile, which also cluster in each other, Indonesia, Philippines, Vietnam, Guinea is in another cluster. APEC includes countries which have different levels in terms of indicators of information society
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".