CONSPECIFIC NEST AGGRESSION OF THE PACIFIC WREN ON VANCOUVER ISLAND, BRITISH COLUMBIA
Bibliographic record
Abstract
Five of the ten wren species in North America are known to destroy nests of conspecifics. These include the Cactus Wren (Campylorhynchus brunneicapillus), Bewick’s Wren (Thryomanes bewickii), Sedge Wren (Cistothorus platensis), Marsh Wren (Cistothorus palustris), and House Wren (Troglodytes aedon). However, none of the Winter Wren complex, recently split as the Winter Wren (Troglodytes hiemalis), Pacific Wren (T. pacificus), and Eurasian Wren (T. troglodytes), have been documented to do so in experiments or by observation of natural behavior. Here we present a detailed chronology of a nesting of the Pacific Wren—the first report of conspecific nest aggression in the Winter Wren complex. On 15 May 2011, in Victoria, British Columbia, Canada, a Pacific Wren approached another’s nest under video surveillance and removed two 9-day-old chicks. The nonparental adult returned to the nest, apparently attempting to kill and/or remove the remaining two chicks, several times over 4.75 hours but was not successful. Although our findings are limited to a single event, they are consistent with those of other wrens.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.004 |
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; both teacher heads agree on what is shown here.
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".