STRATEGIC ASPECTS OF DIVERSIFICATION AND MODERNIZATION IN THE ECONOMY OF SINGLE-INDUSTRY SETTLEMENTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>The current research features approaches to solving the problems associated with a decline in the development of old industrial sectors in single-industry towns (monocities, or monocommunities). The target of the study is to show the necessity of strategic approach and interaction of all management levels. Particular attention is paid to resource-dependent communities. Enterprises of mineral resources sector have limits of effective development, associated with gradual depletion of their resource base. Diversification and modernization of the economy of resource-dependent communities are logically linked to a timely achieving of strategic objectives to ensure their long-term sustainable development. Strategic aspects are also important for development planning in the sphere of new raw material deposits. A comprehensive analysis should help avoid the risks of creating new monocommunities with a poor prospect of long-term development. The article includes an analysis of international experience of Germany, Canada, and China. It is shown that a progress in solving the problems of company towns heavily depends on a strategic partnership between the federal, the regional, and the municipal governments, as well as on their collaboration with business. A conclusion is made that a uniform strategy for the development of various single-industry towns does not exist. The choice of the way of the development for each particular monotown is determined<br />by its socio-economic characteristics. Among those, remoteness or proximity to large urban agglomerations, industry affiliation and prospects for the development of the cityforming<br />enterprise, opportunities for economic diversification, investment potential and opportunities for attracting investors are of paramount importance. The process of positive changes, as a rule, is slow and complicated. Thence, it is important to justify the purpose and ways to achieve it. As a rule, extrapolation methods do not work in this case</p>
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it