Forest management certification in the Americas: difficulties in complying with the requirements of the FSC system
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
'Forest management' aims to maintain forests as producers of goods and services, while ensuring their conservation for future generations. Forest certification has become one of the most widely used mechanisms to encourage and recognize this 'forest stewardship', with the Forest Stewardship Council (FSC) among the most well-known systems worldwide. FSC is widely used in several Management Units on the American Continent, which is home to large forest areas. Therefore, we evaluated the main difficulties in complying with the principles of the FSC standard in 18 American countries based on verification of non-conformities generated in the process. The data were obtained from information contained in the certification audit reports available on the FSC official website, covering all organizations with valid certificates from 1995 to 2013. We found that the United States presented the lowest mean of non-conformities per audit, which may indicate better capacity of managers to implement practices of its forestry activities. Regarding the deviation type, the United States and Canada presented higher indices in relation to the adequacy of the environmental impacts (P6) of their activities. Meanwhile, the greatest non-conformities in the Central and South America countries occurred in the labor and social area (P4), followed by environmental issues (P6). All organizations presented some type of non-compliance with the criteria set by the FSC and needed to adapt. The major difficulties encountered were related to compliance with environmental requirements. The need to implement corrective actions to maintain the certificate demonstrates a change of management influenced by the forest certification process, thus contributing to minimizing socio-environmental impacts resulting from forest operations.
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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 | 0.000 | 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) | 0.000 | 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