Annual OFNC Committee Reports for 2023
Bibliographic record
Abstract
The Awards Committee manages the process to annually recognize and thank those Ottawa Field Naturalists' Club (OFNC) members and other qualified persons who, by virtue of their efforts and talents, are deserving of special recognition.In late 2022, nominations were received and evaluated (see awards criteria at https://ofnc.ca/about-ofnc/awards),and recommended to the Board of Directors for approval.The awards were announced in January 2023 on the website.Biographies were written for the award recipients for inclusion in the Club's publications and posting on the website.Certificates were presented to award recipients on 1 April 2023 at the inperson annual awards appreciation event at St. Basil's Church.The recipients' names, type of award, and short rationale for recognition follow below.• Chris Traynor-George McGee Service Award, in recognition of 25+ years of dedicated service with the Birds Committee and its subcommittees.• Sharon Boddy-Conservation Award for a Member, for community leadership of habitat restoration projects at Carlington Woods and Hampton Park.• John Sankey-Conservation Award for a Nonmember, for conservation efforts to improve local greenspaces, in particular the Hunt Club Creek.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.173 | 0.116 |
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".