Построение системы социально-экономических индикаторов оценки развития и качества жизни регионов / Ю.Ю. Рассеко // Новая экономика. — 2014. - № 2— С. 300-305
Bibliographic record
Abstract
индикаторов оценки развития территорий и качества жизни. Автор обосновывает необходимость мониторинга и измерения показателей развития региона, сведения их в единую сбалансированную систему. В статье проводится ретроспективный анализ эволюции развития параметров оценки региональной среды в таких странах как США, Канада, Великобритания, освящена отечественная практика в этом направлении. Предложены необходимые и обязательные условия построения современной системы социально-экономических индикаторов оценки развития территорий и качества жизни. \n \nThis article is devoted to construction of systems of socio-economic indicators for the evaluation of development of territories and quality of life. The author substantiates the necessity of monitoring and measuring indicators of the region development information in a single coherent system. In the article there is a retrospective analysis of the evolution of the development parameters of the evaluation of the regional environment in such countries as USA, Canada, UK, consecrated the national practice in this direction. Necessary and mandatory conditions of building a modern system of socio-economic indicators for the evaluation of development of territories and quality of life.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.014 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.022 |
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; both teacher heads agree on what is shown here.
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".