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Record W2514674403 · doi:10.1080/17439760.2016.1221126

Noticing nature: Individual and social benefits of a two-week intervention

2016· article· en· W2514674403 on OpenAlex
Holli‐Anne Passmore, Mark D. Holder

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Positive Psychology · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyIntervention (counseling)Social psychologyProsocial behaviorApplied psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.159

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.328
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it