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
Abstract A growing literature emphasizes the importance of managing the adverse effects of climate change on animal and plant species, biological communities, natural areas, and ecosystems. Although replete with general ‘climate adaptation’ strategies, this literature provides relatively limited guidance on translating these strategies into actionable conservation prescriptions. This review synthesizes information from the conservation planning and climate adaptation literature, including climate adaptation plans developed in Canada, England, México, South Africa, and USA, and presents elements of a general approach for developing actionable adaptation measures for wildlife species and conservation areas. Grounded in an adaptive management framework, this approach incorporates existing conservation tools for land and water protection, land and water management, species conservation, and monitoring, and also integrates new information from climate models, sensitivity analyses, and vulnerability assessments for species and ecosystems. WIREs Clim Change 2011 2 498–515 DOI: 10.1002/wcc.127 This article is categorized under: Climate, Ecology, and Conservation > Conservation Strategies
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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