Specifics of psychological, social and physical health levels interrelation among teachers of different age and teaching experience
Bibliographic record
Abstract
© 2015, Canadian Center of Science and Education. All rights reserved. Thematic justification of teachers’ psychological health is caused by the fact that its violation poses the essential problem of psychological services in education. The purpose of the article is to study specifics of psychological, social and physical health levels interrelation among teachers of different age and teaching experience. The main method of studying this issue is the ascertaining experiment. Consideration of the components of psychological health was based on psychological distinguishing such levels as psychological (supposed the adequate attitude to health on cognitive, emotional and motivation-behavioral levels); social (defined by the presence of formed communicative qualities and specifics of interpersonal interaction); physical (supporting psychological health due to the functioning of energy structures). Comparative analysis of correlation structures revealed the dominant objective laws of interrelation of selected indicators on the psychological, physical and social health levels, as well as their specifics in groups of teachers with different teaching experience. Depending on the age and teaching experience psychological or physical health indicators become the “core” of the correlation pleiad. The obtained results allow speaking about a marked impact of the psychological health level on the components of social and physical levels. Immediate practical importance has the generated group of methods, which allow objective and quick diagnosing of psychological health in the condition of teachers health monitoring and thereby improving the efficiency of its correction.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".