Abstract construals make the emotional rewards of prosocial behavior more salient
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
Although previous research has shown that helping others leads to higher happiness than helping oneself, people frequently predict that self-serving behavior will make them happier than prosocial behavior. Here, we explore whether abstract construal – thinking about an event from a higher level, distanced perspective – influences predictions about how rewarding prosocial actions will be for people’s own well-being. In Experiment 1, Hurricane Katrina volunteers who adopted an abstract construal predicted that their efforts would be more rewarding than did volunteers who adopted a concrete construal. Experiment 2 provided a conceptual replication with a hypothetical donation scenario; people who adopted an abstract rather than concrete construal predicted that giving more money would be more rewarding than giving less. These findings suggest that people are more likely to appreciate the emotional benefits of prosocial actions when they adopt high-level construals than when they adopt low-level construals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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