КОНЦЕПТУАЛЬНА ЦІЛІСНА СИНЕРГЕТИЧНА МОДЕЛЬ ПСИХОЛОГО-ПЕДАГОГІЧНОЇ ПІДГОТОВКИ ПРОФЕСІЙНИХ СУДДІВ У СИСТЕМІ СУДДІВСЬКОЇ ОСВІТИ
Bibliographic record
Abstract
The article considers the essence of the conceptual holistic synergetic model of psychological and pedagogical training of professional judges in the system of judicial education. It is substantiated that the basis of the conceptual model is the principles of synergetics, which canadian leaders of judicial education explain through the effectiveness of the implementation of the "Ten principles of the social context of forensic education". The general patterns of the use of the conceptual linguistic synergetic model of psychological and pedagogical training of professional judges in the system of judicial education from the standpoint of human-centric, ac-syllogical, akmeological, andragogical and synergetic approaches are revealed. The connection of concept-stages, regularities and criteria of "judge's integrity" in the integral aspect of the spiritual-reflexive dimension of psychological and pedagogical training of professional judges is explained.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.007 |
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".