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Record W1979870293 · doi:10.5539/enrr.v1n1p36

Attachment to Certain Natural Environments: A Basis for Choice of Recreational Settings, Activities and Restoration from Stress?

2011· article· en· W1979870293 on OpenAlexvenueno aff
Anna A. Adevi, Patrik Grahn

Bibliographic record

VenueEnvironment and Natural Resources Research · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
FundersSocialstyrelsenRiksantikvarieämbetetSveriges Kommuner och LandstingNaturvårdsverket
KeywordsRecreationFeelingNatural (archaeology)PsychologyStress (linguistics)GeographyEnvironmental planningSocial psychologyEcologyArchaeology

Abstract

fetched live from OpenAlex

Studies suggest that people’s choice of recreation depends on attachment to certain places. Others indicate that recreation in nature restores people from stress. Could it be that during childhood people become more attached to certain types of environments, and are more restored after performing recreation in these environments?The results are based on a questionnaire sent out at random to 2,000 people in Sweden, and show that people feel more at home in the type of landscape they grew up in, and that this has importance in their choice of recreational setting as well as the recreational activity they choose. An association was also found between people’s levels of stress and how often they take part in recreation in natural settings where they feel most at home.The phenomenon “feeling at home in certain natural environments” could be an important factor in discussing landscape planning, nature and restoration from stress.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.051
GPT teacher head0.321
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2011
Admission routes1
Has abstractyes

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