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
In addition to making decisions about gains and losses that affect only ourselves, we often make decisions that affect others. Research on life span changes in motivation suggests that altruistic motives become stronger with age, but no prior research has examined how altruism affects tolerance for temporal delays. Experiment 1 used a realistic financial decision making task involving choices for gains, losses, and donations. Each decision required an intertemporal choice between a smaller-immediate and a larger-later option. Participants more often chose the larger-later option in the context of donations than in the context of losses; thus, parting with more of their overall capital when the act of doing so benefited a charity. As predicted, the magnitude of this "altruism effect" was amplified in older relative to younger adults. This pattern was replicated in a second experiment that was conducted online to minimize the influence of demand characteristics. Overall, these findings add to the literature on an age-related increase in altruism, and are the first to demonstrate its effects on intertemporal choice. (PsycINFO Database Record
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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