LEVEL OF ALEXITHYMIA AS A MEDIATOR OF EMPATHY AND COMMUNICATION SATISFACTION
Bibliographic record
Abstract
The Digital Generation is considered a generation that lacks empathy. Based on the research results, this generation tends to think for themselves. One that makes a person have low empathy is alexithymia, which is a person's lack of ability to identify and describe and identify emotions within themselves. The lack of emotion and the absence of emotion makes satisfaction in communication also low. This study aims to see the level of alexithymia and empathy on communication satisfaction and relationship satisfaction. The research method used is descriptive quantitative. There were 102 research participants using random sampling technique. Data collection used the Alexithymia Scale (α=840) Empathy Scale (α=675) and Communication Satisfaction Scale (α=819). Test results using Path Analysis show that Alexithymia mediates the relationship between empathy and communication satisfaction with a contribution of 83%. It can be concluded that individuals who have high levels of alexithymia have high empathy and communication satisfaction.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".