Minutes of the 145th Annual Business Meeting (ABM) of the Ottawa Field-Naturalists’ Club, 10 January 2024 (draft)
Bibliographic record
Abstract
Jakob Mueller, President 82 people attended part or all of the Zoom meetingThe minutes of the previous Annual Business Meeting (ABM), the financial statements, Treasurer's Report, and annual reports of the Ottawa Field-Naturalists' Club (OFNC) committees for 2022-2023 had previously been available on the Club's website.Documents pertaining to the Articles of Amendment and By-laws had also been available on the website.The meeting was called to order at 7:37 pm.During the meeting, relevant documents were projected on the screen for the audience's information.Before the meeting, the Zoom host, Ken Young, explained how the Zoom meeting would work. Adoption of the AgendaIt was moved by Elizabeth Moore, seconded by Catherine Hessian, that the Agenda be adopted as distributed.Carried 2. Welcoming Remarks -Jakob Mueller, President, welcomed the attendees. 3.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.300 | 0.180 |
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".