An Inexpensive Trap for Capturing Flightless Canada Geese
Bibliographic record
Abstract
An inexpensive trap for capturing flightless Canada Geese Anthony I. •hstase his pa.per describes a waterfowl trap which is inexpensive to use and easily constructed and transported.It.was specifically designed to capture predetermined groups of flightless Canada geese.However, this technique could be applied to other flightless (during summer molt) waterfowl in refuge or urban settings.During the summer of 1980 at the Pymatuning Laboratory of Ecology, northwestern Pennsylvania, over 350 Canada geese were captured for the purpose of placing numbered collars and leg bands for behavioral observations.One major objective of this research was to capture specific aggregations of geese, such as family units, or non-breeding groups.Other capture techniques such as baited cannon nets as described by Funk and Grieb (1965 and Turner (1956) and corral type used by Robards (1960) and Cooch (195•) were not applicable for the purpose of this study.Cannon-traps were both very expensive and dangerous to the geese.Corrals were too fixed in space and were also time consuming to erect.The trap was constructed of an 18 m X 18 m hemp net of 5.0 cm mesh.Each corner of the net was attached with an S/hook to a 3 m section of 3.75 cm conduit.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".