Why is Helping Behavior Declining in the United States But Not in Canada?: Ethnic Diversity, New Technologies, and Other Explanations
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".