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Record W7135723293

The Art of Early Life: A Mixed-Methods Evaluation of Arts-based Approaches to Translating the Developmental Origins of Health and Disease Science for Public Health Impact

2025· preprint· en· W7135723293 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSocArXiv (OSF Preprints) · 2025
Typepreprint
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionPublic healthOddsFidelityObservational studyHealth communicationSpace (punctuation)Data collection
DOInot available

Abstract

fetched live from OpenAlex

Background: Public understanding of the Developmental Origins of Health and Disease (DOHaD) remains limited, hindering efforts to shift health behaviours and policy. Arts-based knowledge translation (ABKT) offers a promising approach to engage the public with complex health science. Methods: We evaluated the feasibility, acceptability, and impact of a multi-site public exhibition co-developed by scientists, artists, and community members to convey DOHaD concepts. The exhibition, shown at five sites in a mid-sized Canadian city, featured professional and community-created artworks, scientific images, and interactive data collection activities. Using a parallel convergent mixed methods design, we collected and analyzed observational field notes, written reflections, QR code analytics, and structured activity responses across settings. Quantitative data were analyzed using logistic regression and descriptive statistics. Qualitative data underwent conventional content analysis. Findings were integrated narratively. Results: The exhibition was successfully installed across all sites, although space and security constraints in community settings required substantial adaptation. 89% of observed individuals at the gallery site engaged with the exhibition compared to 3-17% of observed individuals at community sites. Attendees at the gallery site also generally engaged with more artworks and for longer periods of time than at community sites. Viewing over half of the artworks was associated with a significantly greater odds of endorsing environmental and structural determinants of health (OR=10.3, 95% CI [1.48, 210.7]). Written and verbal feedback demonstrated increased awareness, emotional engagement, and a desire for further information. Despite some misinterpretation and low fidelity in interactive activities, the exhibition was broadly well-received and evoked critical reflection. Conclusions: This study provides the first empirical evaluation of an arts-based strategy to translate DOHaD concepts for public audiences, demonstrating that such approaches can enhance health literacy, foster dialogue about the social determinants of health, and support equitable public health communication about early life influences on lifelong health. Future efforts should optimize engagement in non-gallery spaces and assess longer-term impacts on attitudes and behaviours.

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)0.052
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0520.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.233
GPT teacher head0.417
Teacher spread0.184 · 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