Harga Diri dan Schadenfreude pada Karyawan
Bibliographic record
Abstract
Employees are required to build harmonious relationships between workers in order to create work productivity. However, in reality conflicts between employees still occur frequently. This study aims to determine the relationship between self-esteem and Schadenfreude in empoyees. The hypothesis in this study is that there is a relationship between self-esteem and Schadenfreude. The subjects in this study were employees who worked in an agency or company with an age range of 18 years and over and working for more than 1 year. Data collection techniques will use the self-esteem scale and Schadenfreude scale. The data were analyzed using pearson's correlation product moment in the SPSS version 26 software program. Based on the results of the analysis, the correlation coefficient values was -0.624 and p=0.000. (p≤0.050). These results indicate a significant negative relationship to self-esteem and Schadenfreude. The coefficient of determination R2 is 0.390, which means that self-esteem has a relationship of 39% to Schadenfreude while the remaining 61% is influenced by other factors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.014 |
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".