Bibliographic record
Abstract
development of 16 Audretsch, David 102, 228 Austrian School of Hayek 3 Baumol, William J. 72 behavior system, renewing of 151 binary logit model, for knowledge transfer 90, 92-3, 96-7 blue-collar workers 177 Bombardier 131 Brazilian Association of Poultry Producers and Exporters (ABEF) 262 Brazilian Institute of Geography and Statistics (IBGE) 262 Bureau of Labor Statistics (BLS) 40 business development policy 213-15, 225 cluster-oriented 218, 220 implementation of 221 practical-oriented 217 business services 107-8, 214, 220, 223 knowledge-intensive 109, 127 occupations in 205 Canadian Survey of Innovation 119 Capitalism, Socialism and Democracy 58 capitalist market system 58 career development 184-5 chance encounters 123 Chesbrough, Henry 63 Clinton, Bill 26 closed system innovation 119 cluster-oriented development policy 213 clusters beneficial effects of proximity and shared skills 227 business development policy 220 concepts of 214-18 definition of 215 development policy in Denmark 221-6 core elements of 222 for economic development 216 features of 214 growth forum and its partners of cooperation 231 high-tech 214 identification of potential 225 importance of 216 and knowledge economy 9-11, 218-20 triple-helix model 218, 227 life cycle of 233, 244, 248 partnership of innovation triangle 219 regional policy aspects 220 cognitive proximity 122, 247 cognitive skills 35, 40 Colbjørnsen, T. 179, 186 Collins, Harry 27 communication skills 105 community development 148-9 Community Innovation Survey 119 competitive city 35 creative activities, types of 151 creative leadership 140, 143 analysis 144 concept of 139
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.046 |
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; both teacher heads agree on what is shown here.
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".