Shared Value Chain in RECA: Study Founded on the Scenario Analysis
Bibliographic record
Abstract
This research is based on the supply chains of inclusive value, a creative approach of shared value through development (productive, social and economic). The objective of this study is to understand the shared value chain in the Dense Consortium Economic Reforestation (RECA), through sustainable products developed in the Brazilian Amazon. Seeking to understand the principles that govern sharing and present a diagnosis of how cooperative members are benefited in relation to the value chain. This is a qualitative study, with primary data from interviews. The results demonstrate the existence of the value chain, as the cooperative members are well assisted by the association and that the shared management model has achieved great success and satisfaction from most members, it is noteworthy that the Consortium Economic Reforestation/RECA has a system of independent activity, gained efficiency, has a differential, expands its market and has social responsibility, reinforcing the characteristics of the shared value chain.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".