WORKING WITH LAND MANAGERS TO IDENTIFY AND MANAGE POTENTIAL\nSTOPOVER LOCATIONS FOR WHOOPING CRANES
Bibliographic record
Abstract
Whooping cranes (Grus americana) of the Aransas-Wood Buffalo Population migrate 4,000 km twice each year between their nesting grounds in northern Canada and their wintering grounds on the Texas Gulf Coast. During migration, whooping cranes must land at suitable ponds or wetlands to feed or rest. The Whooping Crane Recovery Plan calls for the protection and management of whooping crane stopover locations within the migration corridor. While major stopover areas have been protected, many other smaller sites remain to be identified. Moreover, the Recovery Plan offers no specific entity to protect and manage the latter. To address these gaps in information and activity, Friends of the Wild Whoopers engaged with large land-holding entities (military bases and Indian Reservations) within the migration corridor to share information about whooping cranes and their habitat needs and identify suitable stopover sites that could be protected and managed for cranes. This cooperative effort identified up to 177 wetlands/ponds as potential stopover sites on 14 military bases in Kansas, Oklahoma, and Texas, and as many as 1,275 on 6 Indian Reservations in North and South Dakota, with commitments to manage the habitats as resources allow.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".