Within-Culture Differences in Self-Construal, Environmental Concern, and Proenvironmental Behavior
Why this work is in the frame
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Bibliographic record
Abstract
A substantial amount of research has employed Stern and Dietz's (1994) value-belief-norm theory in examining environmental concern. As useful as this model has been, it fails to take into account important personal and social factors, such as self-perception and culture, relevant to understanding environmental concern. The objective of the present research was to test a more comprehensive model of concern introduced by Arnocky, Stroink, and DeCicco (2007) that centers on self-construal, which is inclusive of values, the self, and culture. Specifically, these authors found that self-construal orientation predicted type of environmental concern expressed and further determined that biospheric concern explained why those with a metapersonal self-construal were more likely to engage in proenvironmental behavior (PEB). In an attempt to replicate these findings, 115 undergraduate psychology students from a midsized university in northern Ontario completed an online questionnaire assessing self-construal, environmental concern, connectedness to nature, and PEB. Both the independent and interdependent self-construals were found to uniquely predict egoistic and altruistic environmental concern, respectively. Further, the metapersonal self-construal was found to be the best predictor of biospheric concern in comparison to the other construal orientations, despite falling short of achieving statistical significance. In a dual mediation model, both biospheric concern and connectedness to nature were demonstrated to explain the relationship between the metapersonal self and PEB; however, connectedness to nature emerged as the stronger mediating variable. Key Words: Self-construal—Environmental concern—Connectedness to nature—Proenvironmental behavior.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 it