Socio-Economic Potential of the Region and Its Evaluation
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
At the moment the problem of determining the internal reserves of socio-economic development of the regionbecomes more important, the solution of which requires the development of new approaches to the definition ofthe essence, structure, methods for assessing the socio-economic potential.Modern socio-economic situation and the need for constant adjustment of the processes occurring in the regionrequire the development and formation of the conceptual and methodological tools of complex analysis of thelevel of development potential of the area. Now there are several basic approaches: integral evaluation ofmeasures of socio-economic prosperity of the regions; integrated comprehensive performance evaluation basedon the additive and multiplicative criterion.One of the policy objectives of socio-economic development is the establishment of long-term regionaldevelopment priorities. Comprehensive assessment of the dynamics of development of the Russian Federationsuggests some stabilization of the socio-economic situation in them. However, some regions are significantlybehind in terms of its socio-economic development. Therefore strategically important for Russia is a coherentstate regional policy.The aim of this study is the development of theoretical approaches, methodological principles, as well as thedevelopment of practical recommendations for a comprehensive assessment of the socio-economic potential ofthe region.During the study of the theoretical framework for assessing the socio-economic potential of the technique in thebalance of social and economic trends on the basis of the calculation of integral indices reflecting the substantialcharacteristics of the local units were constructed indicators (normalized values) underlying the integralevaluation of the balanced socio-economic potential of the region. The application of this approach allows toselect the subjects of the Russian Federation, whose rating is the same when using the resource and effectiveapproaches that demonstrates the effectiveness of management of socio-economic potential of territorial entities.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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