Integrated Creative Practices (ICP) for transdisciplinary research and knowledge mobilization
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.
Bibliographic record
Abstract
Creative practices have long fueled innovation and insight in the sciences and beyond, yet there remains no widely adopted framework for integrating creative practices into transdisciplinary research. In response, we introduce the Integrated Creative Practices (ICP) framework, grounded in a transdisciplinary research project that addressed a complex environmental challenge. The ICP framework offers a pathway for researchers from the arts and sciences to collaborate with non-academic stakeholders in transdisciplinary research without sacrificing disciplinary rigor or practical outcomes. By leveraging design methods and creative practices, the framework facilitates collaboration across the arts and sciences while bridging the gap between knowledge and its mobilization. As a future-oriented discipline positioned at the intersection of the arts and sciences, design offers a unique set of tools, frameworks, and methods that are well-suited for addressing complex problems that require multifaceted solutions, robust stakeholder engagement, and iterative, non-linear approaches. Moreover, the inherently dialogic, participatory, and socially-oriented aspects of design methods and practices are uniquely well-suited to facilitating transdisciplinary collaborations that bridge the knowledge-to-action gap limiting the impact of academic research.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it