Distinguished Ornithologist 2024: Mark Peck
Bibliographic record
Abstract
Award of the Ontario Field Ornithologists (OFO) in recognition of his tremendous contributions to OFO and the Ontario birding community as well as for research projects that have resulted in new ornithological knowledge.We were delighted to nominate Mark for this award.During many gatherings over the years, Gerard often spoke with Ron Pittaway, another OFO Distinguished Ornithologist, suggesting that it was time to nominate Mark for the OFO award.However, people get busy and put things off, and so it didn't happen until Jean, Gerard and John finally motivated each other.We regret that Ron is not here to celebrate with us, but we know he is with us in spirit to enjoy Mark's special occasion.When we three nominators called Mark to let him know that the editors of Ontario Birds and the OFO Board had selected him as the 2024 Distinguished Ornithologist, he had to cut the call short as he was leaving to guide a group of students -beginner birders in High Park.That struck us as totally in character and indicative of his friendly and helpful nature.So many of us have benefited from Mark's generosity of knowledge and of spirit, be it as beginning birders or as fellow ornithologists.Mark is well-known throughout Ontario and beyond for his professional collaboration, research, communitybased resource abilities, citizen science efforts and his volunteering.He is an outstanding birder, a collegial person who shares his knowledge of birds and nest-finding and an exceptional field ornithologist.Mark has been immersed in birds from an early age.He was born in Oakville, Ontario, into a family where birds and birding reigned supreme.His father, George Peck, was a Research Associate at the Royal Ontario Museum
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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; both teacher heads agree on what is shown here.
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".