Pataisos įstaigos švietimo sistemos modelio teorinis ir empyrinis pagrindimas
Bibliographic record
Abstract
According to such methodical regulations as the theory of socialization, A.H. Maslow`s theory of hierarchy of needs, the European dimension of the education, from the systemic point of view the person and from and from the multi-disciplined point of view to the deviantical behavior, I looked through the P.D.Į.Š.S. of Lithuania nowadays. I used the analysis of main methods-scientific literature, documents (local and international acts of law, which regulate Educational System of Penitentiary Institutions of Lithuania) also the comparative analysis and the completed questionnaires of the convicts. Wanting to reach the basic goal of this work-to form and prove the modern E.S.P.I..- I put up some aims: \t\n1. To analyze the educational system of P.I. of Lithuania nowadays, the documents which regulate it and compare this system with the models of E.S.P.I. of the chosen countries (Sweden, Danmark, Canada, Russia and Estonia), the realization and the experience of the social-educational decisions and directions that are formed by EU.\t\t\t\t\t\n2. To search the needs for education of people who are convicted.\t\t\t\t\t3. To show and prove the model of E.S.P.I. in Lithuania and offer the ways and possibilities how to make it true, also show the recommendations for sowing the realization and social-educational problems of improvement in these institutions at the beginning of the work I had some hypotheses; \t\t\t\t \n1. The solution of social-educational problems of convicts, matches the... [to full text]
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".