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Record W2969784597 · doi:10.1177/1471301219869121

Digging into the experiences of therapeutic gardening for people with dementia: An interpretative phenomenological analysis

2019· article· en· W2969784597 on OpenAlexaff
Tracy Smith‐Carrier, Laura Béres, Karen M. Johnson, Catherine Blake

Bibliographic record

VenueDementia · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsInterpretative phenomenological analysisDementiaCuriosityWonderPsychologySocializationContext (archaeology)PsychotherapistSocial psychologySociologySocial scienceMedicineQualitative researchGeography

Abstract

fetched live from OpenAlex

Gardening programmes aim to promote improved engagement and quality of life in persons with dementia. Although a substantial literature has amassed documenting the overall positive outcomes associated with therapeutic gardening and horticulture for persons with dementia, little is known about the specific aspects of the gardening process that engender these benefits, and how and why they are important. The purpose of this research was to explore, using interpretative phenomenological analysis, the experiences of therapeutic gardening for persons with dementia, and their perspectives on the senses and emotions elicited in the gardening process that promote well-being. The themes that emerged in our analysis are to varying degrees substantiated in the literature: the usefulness of activating the senses, particularly those of touch and smell; the significance of being occupied in meaningful, productive work; the importance of cultivating a sense of curiosity, wonder, and learning; the positive gains derived from socialization in a group context; the peace and hope derived from being 'in the moment'; and the positive mental and physical well-being derived from participating in the outdoor garden. Our findings support the integration of therapeutic gardening as a valuable practice for people with dementia.

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 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 score0.156
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 science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.262
Teacher spread0.249 · 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 teacher head, not a consensus.

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

Citations35
Published2019
Admission routes1
Has abstractyes

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