A Real Option Approach to the Protection of a Habitat Dependent Endangered Species
Bibliographic record
Abstract
Nous utilisons la méthode des options réelles pour déterminer quand un planificateur social doit interrompre ou reprendre l'exploitation d'une forêt, lorsque celle-ci constitue l'habitat stochastique d'une espèce menacée d'extinction. Le modèle présente des aspects économiques, écologiques et sociaux; il établit une règle optimale de gestion forestière qui fait l'arbitrage entre les bénéfices commerciaux de l'exploitation forestière et les risques d'extinction de l'espèce. Pour des paramètres correspondant au cas du Rangifer tarandus caribou, une espèce du centre du Labrador (Canada) menacée d'extinction, la politique optimale d'interruption et reprise de l'exploitation forestière est attractive; elle n'exige pas de longs arrêts dans l'exploitation, alors qu'elle réduit significativement le risque d'extinction et augmente la valeur de la forêt.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".