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Record W4410863578 · doi:10.1504/ijspr.2025.146417

Design and development of horticultural Snoezelen Room

2025· article· en· W4410863578 on OpenAlexaffabout
Megan R. Cockburn, Dejan Uzelac, Aaron Bove, John Makaran

Bibliographic record

VenueInternational Journal of Student Project Reporting · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Snoezelen apparatuses are used all over the world as a multi-sensory tool for therapy. A typical snoezelen is a space that helps to 'reduce agitation and anxiety' in an engaging manner to 'stimulate reactions and encourage communication'. This paper concerns the design and development of a horticultural Snoezelen Room for Hutton House, a community organisation in London, Ontario that was performed by a group of Mechanical and Materials Engineering students at Western University for their 4th year capstone design project. The Hutton House is a charity that helps and supports persons with disabilities. The Snoezelen Room would be an additional service and calming environment for them to provide to the community. The team built an approximate 1.8 metres × 1.8 metres (6 ft. × 6 ft.) Snoezelen Room consisting of three walls of horizontal piping and UV lights to create a multi-sensory room for the user, that was able to be transported throughout London for use.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.050
GPT teacher head0.333
Teacher spread0.283 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes2
Has abstractyes

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