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P081 Arthritis, artists and art opporunities for education

2021· article· en· W3157653543 on OpenAlexaboutno aff
Soha Amar, Mark Lloyd

Bibliographic record

VenueLara D. Veeken · 2021
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePaintingVisual artsLimpSculptureThe artsAestheticsArtSurgery

Abstract

fetched live from OpenAlex

Abstract Background/Aims The role of art in rheumatology is under-investigated. Several well-known artists have suffered from rheumatic disease. Their insights and achievements potentially provide reassurance and encouragement to our patients. Creating art may also offer therapeutic benefits for patients. Finally, the artistic environment can affect mood and behaviour. We highlight several inspirational artists. Methods Four artists offer valuable insights: Michaelangelo (d. 1564) was able to master sculpture, painting and architecture despite hand osteoarthritis and persisted in working until his death, age 89. Pierre-Auguste Renoir (d. 1919) developed severe RA aged 50. He continued to paint for the rest of his life, being carried to outdoor scenes on a sedan and designing an innovative rolling canvas to complete some of his finest work. He painted on small pieces of wood at night to distract from his arthritic pain. Frida Kahlo (d.1954), the Mexican artist, experienced chronic generalised pain and fatigue in keeping with fibromyalgia. This was after a bus accident at eighteen resulted in multiple pelvic and vertebral fractures. Self-portraiture became the cornerstone of her bold art during the solitude of her convalescence. Maud Lewis (d.1970), the Canadian folk painter, had JIA in early childhood resulting in a limp and severe hand changes. She spent much time indoors due to her pain and the ridicule faced from her peers. She developed an eagerness for drawing; to the extent that she painted on any surface she could find of her small cottage. Results These artists’ own words reveal the resilience they gained from their art. Renoir stated: 'Out of doom and misery the most beautiful song may rise'. Lewis reported ‘As long as I’ve got a brush in front of me, I’m alright.’, whilst Kahlo was similarly quoted to say ‘I am broken. But I am happy to be alive as long as I can paint’. A small study in 2017 with 17 patients with RA showed improvement not only in hand function but also self-perception and quality of life after participating in daily art-based intervention (origami, painting and clay modelling) for four weeks. Furthermore, a common theme between these famous artists was how they favoured bright colours in their artwork, which may have positive effects on mood. Colouring can reduce stress in children in paediatric waiting rooms. Within other settings, research suggests that visual art depicting nature can reduce anxiety in emergency department waiting rooms. Conclusion Although exceptionally talented people, the artists discussed show the inspiring possibilities of creativity despite severe rheumatic disease. We suggest sharing these stories with our patients and considering further study into the therapeutic potential of creating art in rheumatic conditions. Attention should be paid to the artistic environment in which we see our patients. Disclosure S. Amar: None. M. Lloyd: None.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.198
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1980.026

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 head0.037
GPT teacher head0.300
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations2
Published2021
Admission routes1
Has abstractyes

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