Why is Helping Behavior Declining in the United States But Not in Canada?: Ethnic Diversity, New Technologies, and Other Explanations
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
This paper explores whether there has been a recent decline in helping behavior in the United States. In a lost letter experiment, 7,466 letters were “lost” in 63 urban areas in the United States and Canada in 2001 and 2011. There has been a 10 percent decline in helping behavior in the United States, but not in Canada. Two arguments anticipate change in the level of help provided to strangers: the rise of new technologies, and neighborhood racial and ethnic diversity. Findings exclude increased privatism as a source for the decline in helping. In 2001 there was no variation in altruistic behavior based on neighborhood diversity. However, areas of the United States where the proportion of noncitizens increased since 2001 experienced reduced helping; the opposite was found in Canada. Possible explanations include changing attitudes toward noncitizens, and differences in public policy related to economic inequality, social inclusion, and the acceptance of multiculturalism.
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 | 0.001 | 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