PRINCIPLES AND PROBLEMS OF FINANCIAL PROVISION OF EDUCATION TO PERSONS SENTENCED TO IMPRISONMENT
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».