Bibliographic record
Abstract
Black-bellied Whistling-DuckThe OBRC has formal documentation from Franklin. Greater White-fronted GooseA flock of 11 spent 13 to 15 Mar along Grant Moore Road, Seneca (m.obs.)The last was a single bird at Hamlet Protein, Hancock, on 09 May (fide Robert Sams).(16 counties) Snow Goose The high count was 84; Rick Asamoto found them at Old Highland Stone on 07 Mar.Sixteen were the blue morph and the rest white.Scott Huge made the second-highest count of 38, in Swine Creek Reservation, Geauga, on 15 Mar.Singles on 14 Apr at the Findlay Reservoirs (Christopher Collins) and the Mercer end of Grand Lake St. Marys (Carlton Schooley) were the last.(25 counties)Ross's Goose All which were positively identified were single birds.Old Reid Park, Clark, hosted one from 11 to 17 Apr (m.obs.).It was the last but for one at the Hueston Woods SP marina, Preble, on 06 May (Kaitlyn Gerken).Butler and Ottawa also contributed sightings; Logan might also have done so, but see below. [Snow x Ross's Goose]Stephan Minnig and Troy Shively decided that at least one of the two smallish birds they saw at The Slough, Logan, on 29 Mar and again on 01 Apr was a hybrid.Snow/Ross's Goose Indeterminate birds were in Greene, Logan, Medina, Montgomery, and Summit. Cackling GooseA trio flew over the Bowling Green State University campus, Wood, on 17 Mar (Mark Rozmarynowycz).Another three were at Sandy Ridge on 26 Mar (Gustino Lanese).Junior Barnes saw two at Rocky Fork on 31 Mar, and said they had been there for three days.They were the last but for two which Victor Fazio III picked out of a flock of Canada Geese at Schekelhoff Park, Seneca, on 02 May.(13 counties) Canada Goose Ron Sempier estimated 3000 were in Killdeer's Pond 27 on 02 Mar.Mark Shieldcastle found about 2200 at ONWR on 15 Mar.Every county but Pike had at least one sighting.[Snow x Canada Goose] John Habig identified two on the Great Miami River in Butler on 22 Apr. Cackling/Canada GooseViewers were undecided about birds in Athens (one), Erie (one), Franklin (four to seven), and Hocking (six). Mute SwanThe high count was 17; Victor Fazio III found them at Great Egret Marsh, Ottawa, on 03 May.Counts elsewhere ranged up to 16. (50 counties) Trumpeter Swan A quartet of birders saw the largest concentration, 35, at the Turtle Creek fishing access, Ottawa, on 21 May.(33 counties) Tundra Swan Mark Shieldcastle found 1200 at ONWR on 15 Mar; he saw 840 there the next day.The highest count away from Lake Erie was Ron Sempier's 500 or more at Killdeer on 23 Mar; they were spread among several of the ponds.John Faneuff's four at Magee and one at Metzger on 24 Apr were the last.(51 counties) Wood Duck Mill Creek Sanctuary, Mahoning, hosted 165 for Jeff Harvey on 20 Mar.Neil Gilbert noted 80 in the camping area of East Fork on 20 Mar and wrote, "Incredible numbers-I've never seen so many in one place (scattered along a perhaps half-mile stretch of river edge)".Only Meigs, Pike, and Putnam did not yield reports.Lael Weyenberg welcomed birders to view this pair of Black-bellied Whistling-Ducks which spent 18 May at her backyard pond in Worthington, Franklin, and were photographed by Kathi Hutton.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.546 | 0.317 |
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".