Industrial Region: Evolutionary and Innovational Ways of Creation of Competitive Advantages
Bibliographic record
Abstract
The paper presents competitiveness of the region as a dynamically-oriented system with a specific definition of objectives and adaptive “internal” environment. The long-term dynamics of competitiveness “external” environment is related with the theory of “major cycles” by N. D. Kondratyev through a contradictory influence of the “state” and “development” factors on the territorial productive powers with specified “growth points” and development stages. Structural model of competitiveness of the region is presented as interactive “center of perspectives” and “productive periphery” with effective feedback. Algorithm of transition from the basic competitiveness to the growth one based on qualitative and quantitative changes in efficiency of applied labour under multiple influences is specified in the paper. Possible formation of the regional competitiveness by evolutionary and innovational ways in terms of industrial region with intended effects from specific implementation of competitive advantages is shown herein.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".