Testing of APEC Countries Competitiveness Dynamics Through Fuzzy Clustering Analysis and Some Findings
Bibliographic record
Abstract
Competitiveness structures of countries have an important impact on production, export and growth of countries. Porter’s Diamond Model presents a comprehensive framework on the competitiveness dynamics of a country. The purpose of this study is to assert the similarities of competitiveness dynamics between APEC member countries. In this study, fuzzy clustering analysis was used. APEC countries except New Zealand, Mexico and Brunie clustered differently. It has been observed that USA, Canada, Australia, Hong Kong and Singapore are in the same cluster in 2008, 2010 and 2012; Japan, South Korea, Thailand and Taiwan are in the same cluster in 2008, 2009 and 2012. Malaysia and Chile, Russia and Vietnam, Peru and Philippines are in the same cluster in all years. So it can be said that these countries resemble with regards to competitiveness dynamics.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".