A results-based system for regulating reforestation obligations
Bibliographic record
Abstract
A results-based system for the regulation of reforestation obligations is described. The system involves establishing performance targets for harvested areas, surveying areas after harvest to assess achieved performance, and maintaining a ledger to tally target and achieved performance over a large number of cutblocks. The obligation to reforest is considered met when total achieved performance exceeds total target performance evaluated over all cutblocks. Reforestation performance is indexed by predicted merchantable volume per hectare 80 years after harvest. To obtain these volume predictions, areas are surveyed 10 years after harvest and estimates of site quality, tree stocking, species composition, and stand height are input to a set of yield prediction tables. This results-based system, which we believe improves the regulatory framework governing the reforestation of harvested areas, will be tested in a management unit (TFL 49) in southern British Columbia in 2002. Key words: results-based regulations, reforestation, yield prediction, silviculture
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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 | 0.000 | 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 | 0.000 | 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".