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Record W7106266350 · doi:10.1108/jica-01-2025-0006

Social prescribing beyond social prescriptions: moving social prescribing from commodification to co-creation

2025· article· en· W7106266350 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.

Bibliographic record

VenueJournal of Integrated Care · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of TorontoPublic Health Ontario
Fundersnot available
KeywordsFraming (construction)CommodificationPoliticsNeglectPower (physics)Conceptual frameworkEmpirical researchSocial changeInterdependence

Abstract

fetched live from OpenAlex

Purpose This paper aims to challenge the prevailing focus on “social prescriptions” in social prescribing research and practice and argue for a broader understanding of “social prescribing” as a process of co-creation that prioritizes relationships, community engagement and self-determination. Design/methodology/approach Rather than presenting new empirical data, this paper draws upon key concepts from public health, sociology and political ecology to offer a novel theoretical lens through which to understand and implement social prescribing, critically examining the limitations of framing social prescribing primarily through the lens of “social determinants of health.” Findings We argue that a narrow focus on “social prescriptions” over processes of “social prescribing,” like a narrow focus on “social determinants of health” over complex and intersecting “processes of determination in health,” can lead to a commodification of interventions, reinforce power imbalances and neglect the crucial role of community engagement and self-determination. We propose a place-based, person-centred, politically aware approach that emphasizes the dynamic interplay of people, power and place in shaping health outcomes. Research limitations/implications This conceptual paper primarily focuses on theoretical challenges to existing social prescribing frameworks. Further research is needed to connect this framework with the existing empirical evidence and real-world practice of social prescribing, investigate the nuances of power dynamics within social prescribing initiatives and explore the feasibility of implementing alternative approaches in diverse contexts. Practical implications The paper advocates for a shift away from simply “prescribing” social activities and toward a more collaborative, co-creative approach to social prescribing. In practice, this means that social prescribers consider prioritizing relationships: building trust and fostering strong relationships between patients, link workers and community organizations; focusing on self-determination: empowering individuals and communities to actively participate in shaping their own health pathways; adopting a “political ecology of health” framework: considering the dynamic interplay of people, power and place in shaping health outcomes and implementing culturally safe and trauma-informed practices: addressing existing power imbalances and potential harms within healthcare. Social implications By emphasizing co-creation and self-determination, the proposed approach to social prescribing has the potential to reduce health inequities by better addressing the social and political roots of health disparities, empower marginalized communities by ensuring their voices are heard and their needs are met in a culturally safe manner, strengthen community connections by fostering a sense of belonging and mattering and promote social justice by challenging existing power structures and advocating for more equitable social and environmental conditions. Originality/value This paper challenges the dominant focus on “social prescriptions” by focusing on processes of “social prescribing.” It introduces a political ecology of health framework that provides a more nuanced understanding of the dynamic processes that shape health. This framework emphasizes co-creation, self-determination and community engagement and highlights the importance of relationships and power dynamics in social prescribing. The paper advocates for a more equitable and transformative approach that emphasizes community leadership and strengths and better addresses the social and political roots of health inequities.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.332
Teacher spread0.288 · 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