In Memoriam Jean Marianne Niskanen (1943-2003)
Bibliographic record
Abstract
It was 30 August 1997, and I was not feeling too well; about to succumb again to the woes of mal de mer.Our party of four Ontario birders had boarded a Gulf Stream pelagic five hours earlier out of Brielle, New Jersey, and had yet to see a seabird.To make matters worse, an incredible Broad-billed Sandpiper, just 90 miles away at Jamaica Bay NWR in New York City, had been reported to us after we left the pier.That and dreams of rare stormpetrels were becoming nightmares.It wasn't just me; everyone on board was suffering except Jean Niskanen.In typical fashion for Jean, she refused to suffer anything."Come on you guys, we need your eyes.You can't see birds looking at your feet."Forcing a grin, I straightened up and persevered.Jean was not going to let us lose the moment ... that was the way she was.Jean Niskanen passed away on 19 March 2003, after an eleven-year struggle with cancer.The Ontario birding community lost one of its more active volunteers.It would surprise me greatly if I could find a field project in the Oakville or Parry Sound areas with which Jean had not been involved.For more than a decade, she accomplished
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.060 | 0.065 |
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".