Valuing old-growth forests and related qualities in southwest mainland British Columbia using contingent choice
Bibliographic record
Abstract
The Northern Spotted Owl is an endangered species that requires old-growth forests in southwest mainland British Columbia for its survival. Policies to save the owl focus on habitat preservation and include trade-offs between removing old-growth forests from timber harvesting allocations, and preservation of an animal with no direct market value. The majority of forests are public land and determining the proper trade-offs requires knowledge of the general public’s preferences. Existence values for the Spotted Owl may be confounded with their habitat (i.e. old-growth forests), or other old-growth dependent species at risk, where the old-growth forests can exist without these species, but not vice versa. This study uses a stated preference, multi-attribute, trade-off approach to measure these values separately, but in the context of each other. Risk (success of conservation) is also included into the valuation. The study surveyed the general public of the Lower Mainland using a web-based format.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".