Role of Organisational Culture of the University in Formation of Psychological Readiness of Students to Assertive Behaviour
Bibliographic record
Abstract
Objective: the primary purpose of the work is to study the role of organisational culture of the modern Ukrainian university in the process of formation of psychological readiness of students to assertive behaviour. Background: Scientific and public discussion about reforming the system of higher education requires deeper research of the influence of university organisational culture on forming not only professional but also personal skills and abilities that make this research relevant. Method: The selection has 180 respondents from all departments and institutions of university and has been balanced by gender and age. This was the psychosemantic research. Results: To collect the data, suggestions regarding resistance to undesirable influence were used developed by P. Zimbardo and S. Andersen, ten assertive rules of personality developed by M.J. Smith and the author's survey "Confession of a sad student". Obtained data were represented using the factor analysis. Assumptions concerning the normal distribution were checked using the statistical criteria of Bartlett of the mathematical, statistical package SPSS 14. Conclusion: The obtained factor structure showed that it is possible to speak of domination in the student environment of the tendency to immature self-affirmation along with a readiness to conquer that can be explained by the inadequate conditions of organisational culture to form assertiveness of student.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".