CHARACTERISTICS OF NEST CAVITIES AND NEST TREES OF THE RED-BREASTED SAPSUCKER IN COASTAL MONTANE FORESTS
Bibliographic record
Abstract
From May through July 1997 and 1998, I quantified nest tree and cavity characteristics of 32 Red-breasted Sapsucker (Sphyrapicus ruber) nests in the high-elevation coastal forests of northern Vancouver Island, British Columbia. Nests were located in western white pine (Pinus monticola), hemlock (Tsuga sp.), and Douglas-fir (Pseudotsuga menziesii) snags. Nest trees were significantly taller and had a greater DBH than random snags. Nest height was positively correlated with tree height. All nests were in dead trees. The orientation of nest cavity entrances did not differ from random orientations. When choosing nest sites, Red-breasted Sapsuckers are likely balancing predation risk (decreasing at higher nest heights) and adequate nest space and insulation (greater with increasing diameter at lower nest heights).
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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 | 0.000 | 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 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".