Bibliographic record
Abstract
Wayne was Saskatchewan's "all-round naturalist" in every sense of that phrase, with remarkable skills in identifying birds, mammals, vascular plants, mosses, lichens, butterflies and other insects.He was the foremost Saskatchewan authority on rare and endangered bird species, especially the Piping Plover, Loggerhead Shrike, Greater Prairie-chicken, Sage Grouse, and Burrowing Owl.He could also identify all northern warbler songs and dialects.Few in Saskatchewan came close to sharing his wealth of knowledge across such a wide variety of topics.Bom on November 10,1951, Wayne grew up on the family farm near Raymore, where he went to school, and then took an advanced degree in biology at the University of Saskatchewan, graduating in 1975.While still a student, Wayne began searching for owl nests in spring so I could band the nestlings when I visited the Harris farm each May.As a university student he assisted me on extensive raptor banding trips and helped band colonial birds at Redberry Lake.Wayne obtained a banding sub-permit in 1971 and a full permit in 1985.He banded thousands of birds in his life time, including 1800 Loggerhead Shrikes.Wayne started work for the Forestry Branch, Department of Northern Saskatchewan in 1975 and for a year worked under Alf Kabzems.Alf told me how Wayne often worked from dawn to dark, seven days a week, contrary to department protocol, and of the high quality of the work he produced.No wonder Alf thought the world of Wayne.
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 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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.121 | 0.073 |
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".