Endorsing help for others that you oppose for yourself: Mind perception alters the perceived effectiveness of paternalism.
Bibliographic record
Abstract
How people choose to help each other can be just as important as how much people help. Help can come through relatively paternalistic or agentic aid. Paternalistic aid, such as banning certain foods to encourage weight loss or donating food to alleviate poverty, restricts recipients' choices compared with agentic aid, such as providing calorie counts or donating cash. Nine experiments demonstrate that how people choose to help depends partly on their beliefs about the recipient's mental capacities. People perceive paternalistic aid to be more effective for those who seem less mentally capable (Experiments 1 and 2), and people therefore give more paternalistically when others are described as relatively incompetent (Experiment 3). Because people tend to believe that they are more mentally capable than are others, people also believe that paternalistic aid will be more effective for others than for oneself, effectively treating other adults more like children (Experiments 4a-5b). Experiencing a personal mental shortcoming-overeating on Thanksgiving-therefore increased the perceived effectiveness of paternalism for oneself, such that participants thought paternalistic antiobesity policies would be more effective when surveyed the day after Thanksgiving than the day before (Experiment 6). A final experiment demonstrates that the link between perceived effectiveness of aid and mental capacity is bidirectional: Those receiving paternalistic aid were perceived as less mentally capable than those receiving relatively agentic aid (Experiment 7). Beliefs about how best to help someone in need are affected by subtle inferences about the mind of the person in need. (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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".