Sociodemographic and Personality Characteristics of Canadian Donors Contributing to International Charity
Bibliographic record
Abstract
This study aims to establish a sociodemographic and personality profile of Canadians who donate internationally, fills the gap in the literature with regard to individual-level determinants of international giving, and compares these determinants with those of domestic donors. Women, volunteers, and individuals of non-Canadian origin, with higher income, higher education, higher level of religiosity, higher political awareness and participation, and higher frequency of extended family participation were more likely to contribute internationally. Higher education and a higher level of religiosity seem to influence international giving more than they did domestic giving. In terms of the variations in amount of international donations the important determinants are income, education, level of religiosity, and feeling of financial security. These results suggest that international charities should probably target their efforts at more-educated, higher-income and more-religious individuals. The other target donors are volunteers, women, individuals of non-Canadian origin, and politically aware and socially involved individuals.
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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 | 0.001 | 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 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".