Do incentives work to motivate voluntary blood donation?
Bibliographic record
Abstract
Abstract Based on previous research on blood donation incentives, we investigated the effectiveness of two incentives—eligibility for free blood transfusions and improving individual credit scores—and explored the psychological mechanisms underlying these effects. We conducted four studies to explore the relationship between incentives and blood donation intention. The results showed that eligibility for free blood transfusions was more effective than improving individual credit scores due to the mediating effect of perceived attractiveness. Meanwhile, improving individual credit scores failed to play an effective role and was significantly lower than eligibility for free blood transfusions due to the mediating effect of perceived threat to freedom. We further found that after adding the moderating variable of involvement, there was no difference between the two incentives due to the weakened mediating effects of perceived threat to freedom and perceived attractiveness in the high‐involvement group. This study establishes two effect paths from incentives to perceived threat to freedom/perceived attractiveness to blood donation intention, explaining the effectiveness of incentives.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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".