Bibliographic record
Abstract
The Toronto Section’s May meeting co-organized by Peter Armstrong and Tony Meerakker was held on 23May at Ontario Place Cinesphere. The Cinesphere was the first IMAX screen in a multiseat theatre environment. The Section was honored with the attendance of Patricia and David Keighley, IMAX chief quality officer gurus, and Denis Tremblay, senior research scientist also from IMAX. Three of Toronto’s societies were also represented: SMPTE, the Audio Engineering Society, and Canadian Society of Cinematographers (CSC). The outstanding number of 234 registered attendees included 105 from SMPTE, 58 from AES, 36 from CSC, and 35 friends. Patricia and David Keighley provided a history of IMAX and display technologies. Tremblay discussed audio technologies at IMAX; Glenn Shaver, Ontario Place, Manager of Transformation, spoke of the renovation side of the Cinesphere transformation; and Nancy Rowland, Ontario Place general manager, spoke of the current Ontario Place revitalization plans. Cinesphere offers a unique and immersive IMAX theatre experience for the screening of films in digital laser and 70-mm film technologies. After the meeting, Cinesphere showed the 70-mm, 18-min IMAX film North of Superior , originally released in 1971
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.710 | 0.457 |
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; the direct Gemma label and the distilled Codex classifier 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".