Interdependence of Population Concentrations and Their Activities as a Dynamic Factor of Continental Cohesion
Bibliographic record
Abstract
This work attempts to achieve the image of cohesion by simulating the emergence of concentrations of population and its activities. This task is accomplished in coherence with earlier simulations operating with relatively simple procedure. It is consisted in sequential shifting of population primarily uniformly distributed and proportional activity loads. A modified intervening opportunities model is used and some parameter values observed and predicted are involved. The results encourage to some farther extensions of the procedure. The new approach involved few stimulating factors and self-supporting mechanism in order to ensure realistic diversification of initial territorial and functional predispositions. The next step is the introducing of a kind of self-training procedure which intends to achieve the compability of current and simulated sizes in a process of modification of parameter. That run of changes became a significant characteristic of particular zones. Subsequent operation brings forth a reverse process converting the current diversity into a uniform distribution. Those simulations both allow us, in a quantitative way, to estimate the ¡°labour¡± of the system needed to achieve the equilibrium as a ¡°steady state¡±. Some aggregations of primarily independent zones are involved together with the introducing of group selectivity affecting the big scale conditions of integrity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".