A network of refugia: Whooping Crane drought response informs international habitat conservation goals
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
Whooping Cranes land in a palustrine-emergent wetland amid row crop agriculture near Atkinson, Nebraska, during spring migration in April of 2020 (photo by M. L. Forsberg). From 2023 to 2024, the U.S. and Canada updated conservation plans for the Whooping Crane through international workshops. These forthcoming documents will reflect shared goals for wetland conservation aimed at boosting the species' resilience to climate change and habitat loss, which were informed by applied research regarding drought impacts on migrating Whooping Cranes. The active protection and management of hydrologically diverse wetland complexes can create climate refugia that help ensure the integrity of Whooping Crane migration through the Central Flyway into the foreseeable future.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it