Bibliographic record
Abstract
This has been another busy and active year for the Institute promoting science in Nova Scotia.The highlights of the year are:Our monthly lecture program attracted a good number of people especially the "Climate Change Forum/Discussion" in January at King's College.Many thanks to Sandra Nowlan and Brad Tucker for helping me develop the lecture program and to members who sent us their ideas.Also many thanks to Sandra for publicizing the talks widely to the news media which increased our attendances.Our Fall lectures were presented by Herschel Specter (RBR Consultants, New York), "Nuclear Energy and the Post-Petroleum Future", Rebecca Jamieson (Department of Earth Sciences, Dalhousie University), "Baking the bedrock-why the Halifax Slates have "the Pits", and Daniel O'Halloran (O'Halloran Campbell Consultants), "In-Stream Tidal Power in the Bay of Fundy".We also co-sponsored with Dalhousie's Department of Oceanography the 2007 Huntsman Award Public lecture on November 22 at Dalhousie University.Dr. Thomas Kiorboe from the Danish Institute for Fisheries Research, Charlottenlund, Denmark gave an interesting talk on "Sex and Death in the Ocean".The winter/spring program started off in January with the "Climate Change Forum/ Discussion" organized and chaired effectively by Brad Tucker from the Discovery Centre.This was well attended and four panelists from universities and government spoke on different topics which sparked a lot of lively discussion.The February lecture was well presented by Dr. Christine Chambers (Departments of Pediatrics and Psychology, Dalhousie University and the IWK Health Centre) on the important topic of "Childhood Pain".In March Dr. Tanya Peckmann,
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.202 | 0.193 |
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".