Noticing nature: Individual and social benefits of a two-week intervention
Bibliographic record
Abstract
We examined the effects of a two-week nature-based well-being intervention. Undergraduates (N = 395) were randomly assigned to one of three conditions: nature, human-built or a business-as-usual control. Participants paid attention to how nature (or human-built objects, depending on assignment) in their everyday surroundings made them feel, photographed the objects/scenes that evoked emotion in them and provided a description of emotions evoked. Post-intervention levels of net positive affect, elevating experiences, a general sense of connectedness (to other people, to nature and to life as a whole) and prosocial orientation were significantly higher in the nature group compared to the human-built and control groups. Trait levels of nature connectedness and engagement with beauty did not moderate nature’s beneficial impact on well-being. Qualitative findings revealed significant differences in the emotional themes evoked by nature vs. human-built objects/scenes. This research provides important empirical support for nature involvement as an effective positive psychology intervention.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".