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Record W4415075706 · doi:10.1080/17439760.2025.2569079

Comparing the well-being benefits of engaging in two positive psychology interventions: the Noticing Nature Intervention (NNI) vs Three Good Things (3GT)

2025· article· en· W4415075706 on OpenAlex
Holli‐Anne Passmore, Sarena Sabine, Ying Yang

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Positive Psychology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsConcordia University of Edmonton
Fundersnot available
KeywordsPositive psychologyIntervention (counseling)Well-beingHappinessProsocial behaviorUnconditional positive regard

Abstract

fetched live from OpenAlex

In this randomized controlled study, participants (N = 520) from two universities in Canada and one in China were assigned to engage daily, for two weeks, in one of three activities: the Noticing Nature Intervention (NNI; notice how everyday nature makes you feel), Three Good Things (3GT), or an active placebo control activity. Post-intervention well-being (i.e. positive affect, meaning in life, transcendent connectedness, and elevation) and compassion were significantly higher and post-intervention ill-being (i.e. depression and anxiety) was significantly lower for the NNI versus controls (ds = 0.24 to 0.55). Compared to 3GT, transcendent connectedness, elevation and compassion were significantly higher for the NNI (ds = 0.41, 0.44, 0.23). The NNI was statistically equivalent to 3GT in boosting positive affect and meaning in life, and statistically non-inferior at lowering anxiety (boundary levels: d = -0.25, 0.25). Consistent with previous studies testing the NNI, benefits were not moderated by time in nature.

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)0.005
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 score0.048
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.021
GPT teacher head0.363
Teacher spread0.342 · 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