Is Prosocial Behavior Associated With Increased Registration for Deceased Organ Donation? A Cross-sectional Study of Ontario, Canada
Bibliographic record
Abstract
A community that promotes prosocial behaviors such as organ donor registration or charitable giving could reinforce those behaviors among its residents. Understanding the nature of the relationship between prosocial behaviors at the community level and an individual's decision to engage in prosocial behavior can help in the targeting of communities with lower rates of prosocial activities. The objective of this study was to assess if the likelihood that an individual is a registered deceased organ donor in Ontario, Canada, is associated with community-level charitable giving. METHODS: This cross-sectional population-based study involved individual- and community-level data from multiple administrative data sources from ICES and Statistics Canada. To assess the unadjusted and adjusted effects of community-level charitable giving on organ donor registration, we ran 4 sequential multilevel random intercept logistic regression models and used a number of individual- and community-level confounding factors. RESULTS: Statistically significant between-community variance (0.322, SE = 0.020) and interclass correlation coefficient (0.089) suggest that substantial variation in organ donor registration can be attributed to the between-community differences. Community-level charitable giving was correlated with organ donor registration (odds ratios, 1.351; 95% confidence intervals, 1.245-1.466) in the model containing only individual-level confounding factors. However, this relationship became statistically nonsignificant (odds ratios, 0.982; 95% confidence intervals, 907-1.063) when a series of community-level confounding factors were added to the model. Among these confounding factors, individuals' immigration status and community-level ethnic/immigrant concentration had the most pronounced association with organ donor registration. CONCLUSION: The identification of the characteristics of populations and communities with low organ donor registration rates may inform future initiatives in the area of organ donation awareness and promotion to make them more effective among those particular groups.
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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 | 0.000 | 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) | 0.000 | 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".