Cross-cultural validity of the Nature Relatedness Scale (NR-6) and links with wellbeing
Bibliographic record
Abstract
Nature relatedness refers to individual differences in subjective connectedness with the natural environment. We aimed to cross-culturally validate the Nature Relatedness scale and examine links between nature relatedness and wellbeing. We also tested whether spirituality or self-transcendent emotions such as gratitude mediate the relationship between nature relatedness and wellbeing. University student participants (N = 798) from four countries (Hungary, India, South Korea, and Canada) completed the short-form Nature Relatedness scale (NR-6; Nisbet & Zelenski, 2013), the Inclusion of Nature in Self scale (Schultz, 2002a), and measures of hedonic and eudaimonic wellbeing. Cross-cultural differences were found in a number of nature relatedness principal components, as well as differences in links between nature relatedness, spirituality, and wellbeing. In all four countries, gratitude formed a significant indirect path from nature relatedness to mental health and quality of life. The findings suggest that spiritual aspects of human-nature relationships may contribute to wellbeing across cultures.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".