Biospheric Values Predict Ecological Cooperation in a Commons Dilemma Scenario
Bibliographic record
Abstract
In ecological commons dilemma research, environmental values tend to be treated as a monolith. However, environmental values vary and they do not equally predict proenvironmental behavior. In this study, we investigated the impact of three kinds of proenvironmental values (egoistic, altruistic, and biospheric) on competitive and cooperative behavior in a hypothetical ecological commons dilemma scenario. Two hundred Canadian undergraduate students completed an online survey assessing proenvironmental value orientation and commons dilemma decision-making tendencies. In line with our hypothesis, controlling for demographic characteristics (e.g., gender) and key facets of social desirability (e.g., impression management), egoistic, altruistic, and biospheric values positively predicted competition, altruistic cooperation, and ecological cooperation, respectively, within the commons dilemma. Results show that to promote the sustainable consumption of shared ecological resources, it is prudent for educators, environmental managers, and policy makers to encourage the expression of biospheric values.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".