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Record W2992001444 · doi:10.1080/17533015.2019.1700537

Against environmental anaesthesia: investigating resident engagement with a magnetic participative art installation on a secure care unit

2019· article· en· W2992001444 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueArts & Health · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsVeterans Affairs CanadaCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDistractionThe artsUnit (ring theory)Set (abstract data type)Psychological interventionIntervention (counseling)Performing artsPsychologyNursingMedical educationMedicineEngineeringComputer sciencePolitical scienceVisual arts

Abstract

fetched live from OpenAlex

Secure long-term care units come with a unique set of challenges, particularly around exit-seeking behaviour. Arts-based environmental interventions on secure units successfully reduce problematic behaviours, while simultaneously ensuring resident safety and improving resident quality of life. The present arts-based project enhanced a distraction mural intervention to incorporate magnets as a participative arts feature. The project was evaluated through a roundtable discussion with unit staff. Findings showed that in addition to reducing exit-seeking behaviour, the magnets provided an aesthetically engaging set of objects for residents to gather up and hold, to pause and explore, and to create order. Challenges with direct care staff are identified and future ideas for arts-based projects on secure units are considered.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

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)0.0010.002

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 head0.030
GPT teacher head0.265
Teacher spread0.234 · 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