Bibliographic record
Abstract
Brief biography of bander of 11,296 birds by 1960, Saskatchewan's third highest total to that date.Noteworthy totals .included 3804 Common Redpolls, 2176 Dark-eyed (Slate-colored) Juncos and 7 46 White-throated Sparrows.Local recaptures included several American Robins and Common Redpolls.Recoveries included Mallard, Northern Pintail and Canvasback in Arkansas, Georgia, Manitoba and South Dakota.He and Maurice G. Street each banded one of two Whip-poor-will chicks as part of the documentation of Saskatchewan's first known nest.)MKM EQUIPMENT AND TECHNIQUES Assessing mortality of African vultures using wing tags and GSM-GPS transmitters.C. J. Kendall and M. Z. Varani.2002.Journal ofRaptor Research 46:135-140.113E Eno Hall, Princeton Univ., Princeton, NJ 08540 (Four [two Lappetfaced and two White-backed] of 17 GSM-GPStagged vultures were confirmed dead within a year of attachment in Kenya, in comparison with four of 78 vultures wing-tagged between 2004 and 2009 found within six years of attachment.The vultures were trapped in noose grids in a line of carcasses.Between 2006 and 2009, 26 of the wing-tagged birds were resighted alive, with 71 sightings.Poisoning was suspected as the main cause of death, as confirmed in four specimens.Whitebacked and Rueppell's vultures were the primary species wing-tagged, with smaller numbers of Lappet-faced Vultures.The study confirmed that these vultures use large home ranges, including unprotected areas.) MKM
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.021 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.191 | 0.069 |
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".