Guía rápida de planificación para la adaptación al cambio climático para profesionales de recursos naturales: Versión internacional
Bibliographic record
Abstract
Acerca de este documentoEste documento fue elaborado por el Instituto de Ciencias Climáticas Aplicadas del Norte en colaboración con el Centro Climático de Bosques del Norte del Departamento de Agricultura de los Estados Unidos de Norteamérica.La Guía rápida se desarrolló como punto de acceso para la planificación a la adaptación al cambio climático para profesionales de recursos naturales.Es paralela a una guía de adaptación desarrollada específicamente para fideicomisos de tierras en colaboración con "Land Trust Alliance", Guía rápida de planificación a la adaptación para fideicomisos de tierras, pero se modificó para el público internacional.La información de esta guía se adaptó del informe del Servicio Forestal del USDA, Recursos para la adaptación: Herramientas y métodos de cambio climático para administradores de tierras, 2da edición.Esta Guía rápida incluye una "Versión corta" actualizada del Cuaderno de ejercicios de adaptación que se describió originalmente en Recursos para la adaptación (Apéndice 4).
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.015 |
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".