National intellectual capital: exploring Taiwan's standing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study proposes a set of National Intellectual Capital Indices (NICI) that can be used to rank the countries in the chosen data set, thereby clarifying Taiwan's intellectual capital standing. The key features of this study that adds value to the existing literature include the fact that it is a longitudinal study spanning the period from 1994 to 2004 and covering a total of 40 countries. The top ten countries in the rankings obtained for the present study include Finland, Sweden, Denmark, Iceland, the USA, Switzerland, Singapore, the Netherlands, Canada and Norway. Taiwan is 20th in the list. The major contributions made by the present study include the proposal of a simple and effective national intellectual capital framework that can be easily replicated every year and the research findings will provide valuable information for stakeholders and policy-makers, thereby helping them to formulate effective strategies for the building of national competitiveness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 it