MODEL OF EVALUATION OF THE LEVEL OF SOCIAL AND ECONOMIC DEVELOPMENT OF THE TERRITORY
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
The article offers the model of evaluation of the level of social and economic development of the territory that includes a set of basic indicators, regulated by the program documents of the regional level and some additional indicators. It grounds the distinguishing of the social subsystem, economic subsystem and municipal finances subsystem as the strategic initiatives when implementing the managerial impact on the level of social and economic development of the region. A model of evaluation of the level of social and economic development of the territory is shown as a set of basic table that contains the structuring of the subsystems of the territory on the analogy with the strategic initiatives of the balanced system of the indicators and the row of decomposing tables allowing to distinguish the factors of the second and the following levels of specification. The model differs from the earlier offered models by the possibility of its universal use in regard to the various regions because it provides the possibility to modify the set of estimating indicators belonging to the subsystems depending upon the data provided by the official statistic reports. The obtained results can be used when forming the project measures by the federal and regional municipal authorities to increase the efficiency of the managerial impact on regional processes. These elements allow forming the set of instruments that increases the efficiency of the managerial impact, decreases the irregularity of the social and economic development of the country in a regional aspect.
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 | 0.001 | 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 | 0.000 |
| 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