Bibliographic record
Abstract
This paper is written to show that there is a definite model that has been developed that explains the role of innovation to economic growth. This paper is based on the theorem that was built up in the paper that I wrote in 2007 entitled “Point X and the Economics of Knowledge”, as well as the so far unpublished papers concerning the long and short term properties of knowledge. This paper shall us the short term properties of knowledge to explain the relationship between growth and Knowledge. Stuart Kauffman of the university of Calgary believes that “Conventional economic theories about growth and the evolution of future wealth may be inadequate. We need a theory and historical examination of the growth of the actual economic web and of whether, in a supracritical economy, a sufficiently high diversity of the web autocatalytically drives its own growth. Furthermore, we need to understand the mutually and collectively cross-enhancing power of complementary technologies, regulatory structure and attraction of consumers in the creation of wealth.” I say this is wrong, the paper “Point X and the Economics of Knowledge”, gives an excellent framework to answer these questions. This paper will delve to be as simple as possible.
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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".