Use of Alarm/Alert Call Playback and Human Harassment to End Canada Goose Problems at an Ohio Business Park
Bibliographic record
Abstract
Burgeoning resident Canada goose (Branta canadensis) populations have led to increased goose/human conflicts. Playback of recorded goose alarm/alert calls coupled with human harassment was used to attempt removal of resident geese from a 24.2 ha business park, Dayton, Ohio, 26 February-15 August 2002. Many geese present were reusing nest territories of previous years. Removal efforts began following territorial establishment. Call playback used 3 "Goosebuster" units (Bird-X Corp. Inc., 300 N. Elizabeth, Chicago IL 60607). Goose use of the property dropped from an estimated 1600-1800 goose hrs/day before testing to fewer than 150 goose hrs/day by week three and to 0 hours by May. Reports of goose aggression or injury to employees fell from 32 and 2 cases in 2001 , respectively, to 0 for both in 2002. Harassment effort declined from a maximum of 3-4 hrs/day to under 15 min/day by week 5. Goose droppings counted per 100 m of walks fell significantly F 3, 24 = 30.048, P< 0.0001, from a mean of 195.7 on 26 February to 3.28 on 24 March 2002, a 97.88 % reduction, and remained low. Continued alarm call playback at random 10-20 min settings appeared to help prevent return/recolonization of the property by geese.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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 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".