Examining Links between Connections to Nature and Intentions for Pro-Environmental Behavior as Outcomes of NOLS
Bibliographic record
Abstract
Reconnecting to nature is imperative for the sustainability of the planet and outdoor experiential programs are an ideal context to operationalize and study sustainability interventions. The purpose of this research is two-fold. First, we investigate the extent to which types of connections to nature are expressed by participants who completed an outdoor experiential NOLS course in the western United States. Second, we examine the extent to which a connection to nature includes a future intention to engage in pro-environmental behavior. This research affirms, empirically, the intention of NOLS to foster an environmental ethic. Key findings provide insights into how some connection themes (e.g., concern and protection) may have more potential to engender future positive intentions than others (e.g., beauty and appreciation). Albeit exploratory in orientation, it is a first important step in empirically establishing relationships between types of nature connections experienced in NOLS and future stewardship actions.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".