Forging the Future: Reconfiguring Value Chains Through Circular Economy Meta-Organizing
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
Transforming linear value chains toward circularity is rife with challenges, like valorizing materials and building supply relationships. Meta-organizations, organizations with organizations as members, may help alleviate these challenges. They can facilitate sustainability transitions by mobilizing collective action, but less is known about their potential for reconfiguring value chains toward circularity. We explore this by conducting a qualitative case study of two meta-organizations for textile circularity. Our findings reveal five key collective activities for reconfiguring value chains toward circularity through meta-organizing: setting material agendas, balancing membership openness and closedness, brokering new relationships among organizations, facilitating material-based platforms, and opening new material opportunities. The first three activities worked in parallel toward two outcomes that enabled material-based platforms and new material opportunities: circular co-experimentation and localized circular supply chain development. Our findings strengthen our understandings of how meta-organizations can build new links across industries and sectors, enabling value chain reconfiguration and broader systemic transitions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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