How Seven Different “Empathies” Correlate With Personality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Self-report measures of empathy capture several distinct facets of the empathy concept. What does this mean for how different “empathies” are correlated with personality? To find out, we measured six empirically derived facets of self-reported empathy in a data-driven approach, plus self-reported global empathy, along with 25 personality variables ( N = 351). The analysis consisted of first correlating each of these seven empathy facets with all of the personality variables, yielding a vector of personality correlates for each empathy facet. Next, we created profile correlations by correlating these vectors of correlates between the empathy facets to show similarities and differences in terms of their pattern of personality correlates. Some of the empathy facets had extremely similar profiles of personality correlates, while others stood apart. These findings indicate that the personality profile of an empathic person depends on the specific facet of empathy that is employed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it