How self-compassion informs decision-making in ordinary times
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
Do people with a life history of responding adaptively to personal losses worry less about potential losses in the future? The present research tested the hypothesis that individuals higher in self-compassion would value potential losses less during decision-making. In Study 1, crowdsourced participants (N = 305) in an online survey completed measures of their preoccupation with avoiding losses and answered investment scenarios with escalating loss-potential. Those higher in self-compassion reported lower assessment vs. locomotion modes of self-regulation, prevention vs. promotion regulatory focus, and fear of invalidity. They also invested larger amounts in the scenario with the highest loss-potential and took more “double-or-nothing” chances for gain. In Study 2, undergraduate participants (N = 205) in an in-lab experiment showed similar trait-correlations as in Study 1. Those higher in self-compassion took greater chances of misremembering items in a game with high-penalty vs. low-penalty instructions. The results link self-compassion with ordinary cost/benefit decision-making and may, therefore, have implications for the development of self-control.
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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