Bibliographic record
Abstract
Abstract: Wild turkeys ( Meleagris gallopavo ) were in serious trouble, especially in the eastern part of the country during the 1940s and 1950s. Years of overharvest, habitat degradation and a total disregard by the public were responsible for the complete loss of wild turkeys in 19 states. Faced with the problem of bringing back the wild turkey, wildlife managers resorted to using game‐farm‐reared turkeys. All of the states attempting to restore turkey populations using game‐farm turkeys reported their efforts failed, except for Michigan. Perfecting the technique of cannon‐netting of native wild turkeys was responsible for what has proved to be a success story unequalled in the annals of wildlife restoration. Wild turkeys are firmly established throughout the U.S. and in Ontario, Canada. The wild turkey's ability in adapting to areas previously thought unsuitable was a complete surprise and contributed to the successful restoration of wild turkey populations during the last half of the 20th century.
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.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.024 |
| Scholarly communication | 0.015 | 0.020 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.011 | 0.026 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".