Results of the Research on Prevention of Mobbing/Bullying as a Psycho-Social Stressor when Implementing Corporate Social Responsibility
Bibliographic record
Abstract
This paper examines the results of the empirical research aimed to identify the prevalence of mobbing/bullying as a psycho-social stressor in socially responsible organizations as well as in the ones that do not adhere to a sense of corporate social responsibility. The aim of the research: to identify the prevalence of MBPS in organizations carrying corporate social responsibility and in organizations not practicing corporate social responsibility. The objectives of the research: (1) to validate the methodology of the research specifying the structure of the instrument; (2) to present the psychosomatic characteristics of the instrument; (3) to assess the prevalence of MBPS in regard to socio-demographic criteria. The methods of the research: analysis and synthesis of scientific literature, questionnaire survey based on validated questionnaire, statistical analysis and comparison. The paper presents the introduction, the methodology of the research, the psycho-metric characteristics of the questionnaire and the socio-demographic data from the respondents as well other aspects in regard to the data.
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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 | 0.007 | 0.020 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".