The Impact of Immersive Technology on Nature Relatedness and Pro-Environmental Behavior
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. Those who feel connected to nature tend to be more likely to engage in pro-environmental behavior. How can this connection with nature be created? We examined whether viewing nature-related videos – specifically, the immersiveness of the technological devices used to display these videos – can enhance connection with nature and increase pro-environmental behavior. Participants watched videos of either natural or built environments through a head-mounted display (immersive technology) or a regular computer screen. We predicted that watching a nature video would enhance nature relatedness and pro-environmental behaviors, particularly when presented with immersive technology than with a traditional computer monitor. There was limited support for the hypotheses; watching the nature video significantly enhanced nature relatedness but not pro-environmental behaviors. The type of technology used did not influence the effect of the videos.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it