Bibliographic record
Abstract
A small coterie of Saskatchewan residents, mainly farmers, took an early interest in bird banding.3This article features rural banders within the Saskatoon Bird Area, a 68.5 by 63 mile square with Saskatoon near its centre.Four of the rural bird banders were farmers; three were concentrated in a small area between Hepburn and Dalmeny and the fourth was active briefly at Elstow.In addition, Fred Bard at the Provincial Museum in Regina released 64 banded crows and 3 magpies in the Saskatoon area as a contribution to the Saskatchewan Game Branch campaign to shoot crows in the hope of decreasing duck nest depredation.Philip Siemens, 1897-1990, permit # 00022 Philip Siemens was the first of the rural banders in the Saskatoon Bird Area (SBA).He was bom at Plum Coulee, Manitoba, on April 1, 1897, the sixth of ten children.In 1903, Philip's parents moved to their parents' farm a half mile west of the village of Rosthem, (then part of the North-west Territories) and in 1914, after three more moves, they settled on a farm a mile north of Hepburn, barely outside the northern edge of the SBA.Philip was farming east of Hepburn when he married in 1923.His wife died three years later.His second marriage in 1933 was to Tena Rempel of Great Deer, Saskatchewan.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".