PRINCIPLES AND PROBLEMS OF FINANCIAL PROVISION OF EDUCATION TO PERSONS SENTENCED TO IMPRISONMENT
Bibliographic record
Abstract
The purpose of the article is to study the economic and legal problems of financing the education of persons sentenced to imprisonment, realization of their constitutional right and to propose to eliminate existing gaps in the legislation. Methodology. The survey is based on an analysis of the principles of financing education, including prison education, on the procedure and problems of financing education for persons sentenced to imprisonment. The principles, good practice and problems of providing educational services in Singapore, Japan, Hong Kong, South Korea, Finland, the Netherlands, Canada, Poland, Germany, Ireland, Great Britain, the USA, Estonia, Kazakhstan, Ukraine, the Russian Federation are considered. Sourcing of education (state, non-state and mixed) are investigated. The analysis of macro indicators of social and economic development of the countries, in which certain system of financing of education operates, is carried out. Emphasis is placed on the fact that the country's development largely depends on the share of gross domestic product spent on research. Only if the cost of science exceeds 0.9% of gross domestic product, it can be said about the impact of science on the development of the state economy. It is concluded that most European countries use the so-called principle of "funding formula", according to which the state allocates financial resources to higher education institutions in amounts determined by special indicators, such as high quality of education, number of students, labor intensity and material consumption of the education process. Results. In the process of studying the state policy on financing the educational system, it has been concluded that tthe most developed countries with a sufficiently high level of gross domestic product per capita have the state system of financing higher education. The main positive feature of penitentiary educational systems is their focus on the prisoner as an individual to provide his or her needs, the opportunity to acquire professional skills and, in the future, to integrate into society and restore his or her social status easily. The authors also conclude that due to certain difficulties in obtaining education by prisoners, namely, most of these persons cannot get an education because they are in isolation from society, their attendance at school is impossible, the way out of this situation is distance learning. Practical implications. . Proposals have been made, according to which higher education for persons sentenced to imprisonment should be regarded as paid activity along with work, and the possibility of obtaining distance education should be enshrined in law. Value/originality. The article provides proposals for amendments to the legislation in the field of education for persons sentenced to imprisonment in some post-Soviet countries for the harmonization of regulations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".