The Relationship Between Composition of Undisturbed Grassland Cover and the Presence of the Ring-necked Pheasant (Phasianus colchicus) in Northern Ohio
Bibliographic record
Abstract
Pheasant research has largely looked at grassland habitat throughout the landscape as an indicator of suitability of ring-necked pheasant habitat. Empirical and anecdotal evidence shows that increased grasslands percentages has a positive affect on pheasant presence or abundance. This study examines the differences in grassland percentages in two study areas in Northern Ohio, Williams/Defiance and Erie/Ottawa/Sandusky, to suggest reasons for the lack of pheasant presence in the Erie, Ottawa, and Sandusky area. The results showed no significant difference between the mean grassland percentages in the two areas (=0.05, d.f.=3, p=.1175), however in comparison to the literature and qualitatively there seems to be a difference. These results will be useful in habitat management recommendations in the area of Erie, Ottawa, and Sandusky counties.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".