The ends of empathy: Constructing empathy from value-based choice
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
Empathy, or the ability to understand and resonate with the experiences of others, has long been considered by philosophers and scientists to be an important part of human morality. We present a new framework that explains empathy as resulting from motivated decisions. Drawing on models of cybernetic control, value-based choice, and constructionism, we suggest that empathy shifts depending on how people value and prioritize conflicting goals. We generate novel predictions about the nature of empathy from the science of goal pursuit, and address its apparent limitations. Empathy appears less sensitive to suffering of large numbers and out-groups, leading some to suggest that empathy is an unreliable ethical guide. Whereas these arguments assume that empathy is a limited-capacity resource, we suggest that apparent limits of empathy reflect byproducts of domain-general goal pursuit. Arguments against empathy reflect a misguided essentialism: they mistake our own choices to avoid empathy for intrinsic features of empathy, treating empathy as a capricious emotion in conflict with reason. We suggest that empathy results from a rational decision, even if its rationality is bounded, as in many decisions in everyday life. Empathy may only be limited if we choose to avoid pursuing empathic goals.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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