Regeneration and Supply Chain Complexity: Insights From the Forest Sector
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
ABSTRACT The literature on regenerative supply chains remains in its early stages and offers limited insight into the relationship between regeneration and supply chain structure. This study adopts a question‐driven exploratory approach to examine potential changes in supply chain structure for firms integrating regenerative practices at the raw material sourcing stage. Using a dataset of 838 firm‐year observations in regulated markets, this research leverages Forest Stewardship Council certification data, complemented by secondary data from other sources, to assess supplier and customer base network structures. The findings reveal distinct patterns: compared with their counterparts in non‐regenerative supply chains, manufacturers in regenerative supply chains maintain larger, more geographically dispersed supplier bases with lower interconnectedness, while origin suppliers—directly engaging in regenerative practices—develop broader customer networks spanning multiple industries. Drawing on the systems perspective, this study provides descriptive evidence that regenerative practices may necessitate the retrofitting of existing supply chains, potentially triggering network‐wide structural changes. These findings illustrate how supply chain architecture may evolve to harmonize with surrounding ecosystems.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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