Bibliographic record
Abstract
As one of the most important achievements in nonlinear science, population system has drawn wide attention and extensive research in the past few decades. However, population control is a systematic social project with much complexity for the reason that it involves knowledge in many aspects, such as functional analysis, differential equations, partial differential equations, operator theory. Through initiating a series of groundbreaking work on the issue of population control in China, our scientific workers have made a lot of achievements, which are valuable in terms of theory and practice, in understanding and addressing this issue in a correct way.To conduct intensive research on the issue of optimal control is a right way to achieve that. They have made strict and detailed analysis to population system, whose results have a great influence on the family planning policy in China.This paper starts from deducing the population equation and explaining its parameters meaning. Next, it gives the answer to a simple model. Based on stationary population model, this paper, considering population mortality and gaining factor (can only depend on age), gives its prediction to a more general case and tries to gain the optimal control towards population.
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".