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Record W2336074960 · doi:10.1080/14927713.2016.1169436

Development of the psychologically deep experiences (PDE) in nature scale

2016· article· en· W2336074960 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLeisure/Loisir · 2016
Typearticle
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsUniversity of AlbertaDalhousie University
Fundersnot available
KeywordsCommunitasConfirmatory factor analysisPsychologyScale (ratio)RecreationStructural equation modelingPerceptionSocial psychologyApplied psychologySociologyMathematicsCartographyGeographyAnthropologyStatistics

Abstract

fetched live from OpenAlex

Mannell described psychologically deep experiences (PDEs) as meaningful events that alter awareness of the passage of time, perceptions of self and the environment. This study integrated 4 PDEs – Communitas, Fascination, Flow experiences and Spiritual experiences by using 11 constructs, developed in preexisting scales, designed to measure them. Our purpose was to develop a valid and comprehensive, nature-based PDE scale. After an expert review (n = 5) and conducting interviews (n = 12), the newly developed scale was included in an online questionnaire composed of nature-based recreationists (n = 431). Confirmatory factor analysis indicated good overall fit for the test and cross validation samples (e.g. RMSEA = 0.047 and 0.038, NFI = 0.94 and 0.94). Although the Communitas and Fascination dimensions require empirical refinement, our findings help to distinguish among four correlated dimensions of meaningful outdoor recreation experiences.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.314
Teacher spread0.296 · 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