Bundling forest ecosystem services for FSC certification: an analysis of stakeholder adaptability
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
An expansion of Forest Stewardship Council (FSC) certification to forest ecosystem services (FES) is a potential tool to improve FES management. Certification of FES in bundles is an expected strategy because it could decrease trade-offs among FES, increase forest owners' incomes, and reduce certification costs per FES. However, there is insufficient evidence of which bundles FES would be most feasible to certify. This study assesses the adaptability of the FSC system to FES bundles through analyses of FES projects and surveys of FSC certification bodies, enabling partners, and certificate holders. Exploratory factor analysis and multiple correspondence analysis identified two bundles: 1) soil and watershed conservation and 2) cultural ecotourism with non-timber forest products or agricultural goods. These findings indicate potentially manageable FES bundles, given the current FSC system and FES projects, as well as some implementation challenges.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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