Bird-window collision : a problem at UBC buildings
Bibliographic record
Abstract
Collision with building windows is one of the main causes of direct humanrelated bird deaths in North America, particularly during migration seasons. Vancouver has the highest densities of wintering birds of any Canadian city, so occupants on the University of British Columbia campus were interested in finding out whether or not bird collisions are a significant problem. As a result, for a period of eight months, four Environmental Sciences students, partnering up with The UBC SEEDS program, UBC Sustainability and Engineering, UBC Building Operations and Environment Canada, compiled and analyzed birdcollision data on the UBC Vancouver campus. The project mainly focuses on the problem of birdbuilding collisions and the severity of the situation. Ten buildings were chosen for their have high percentage of glass cover and are suspected to be the most problematic on campus. The number of bird collisions at each selected building were then recorded and examined for patterns. Since this study is one of the first birdwindow collision studies on UBC, the results will help to inform future UBC birdfriendly building guidelines and future studies.
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 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".