Culture, Motives, and Other-Regarding Preferences of First Nations People of Canada
Bibliographic record
Abstract
Unconditional generosity towards unknown others in a community is an important determinant of its social capital. We develop a two-player double-index utility model that explains individual choices to display unconditional generosity to unknown others. Our model incorporates the influence of individuals’ selfish and ‘other-regarding’ motives, their community embeddedness, group identities, and social norms, to predict choices. We tested the model through field experiments in a First Nation of Canada using modified Dictator Games. The experiments included a retrospective elicitation of motives and provision to dictators of no, or partial information about the identities of second players. Results revealed strong relationships among expressed motives, social norms, group identities, and allocations. First Nation’s culture was manifested by a pattern of more generous giving to elders and women. Provision of partial information about second players’ identities was found to increase average giving and shift self-regarding to other-regarding preferences.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".