Monitoring of Education Environment according to the Social-Psychological Safety Criterion
Bibliographic record
Abstract
The aim of this work is to reveal psychological indices for the monitoring of education environment according to the students' social-psychological safety criterion and to specify their interrelation. The article presents theoretical and methodological bases of the monitoring of students' social-psychological safety criterion in a higher educational establishment. The article presents the review of approaches to the definition of key features of education environment including psychosocial well-being, informational security, non-violent interaction, social ecology. Basing on the analysis of theoretic and methodological material, we defined personal qualities of students, which determine the character of interaction of educational subjects and their psychosocial well-being. These indices are as follows: communication skills, social tolerance, and creativity. Social tolerance is defined as sincere respect and acknowledgement of the other person, active moral position and psychological readiness to the positive interaction in the society and education environment. Communication skills as an index of social-psychological safety include the ability to person-oriented trustful interaction, kindness, skills of business democratic communication, ability to keep emotional well-being, ability to work out strategy, tactics and technique of active interaction with people. Creativity if defined by the student's ability to self-actualize, to learn his/her own abilities and skills, self-fulfilment while creating social-psychological environment of his/her own life. Psychosocial well-being in the whole is characterized by the state of education environment which is free of expression of physical and mental violence. The conducted investigation allowed us to reveal positive correlation connections between the level of subjective well-being and formedness of personal qualities which define the social-psychological safety of education environment.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".