Scenes of family life at home; Victoria Day Parade; Shriners (1948-1949)
Bibliographic record
Abstract
One of a series of amateur motion picture films by Mathew Ko. Ko family members outdoors: man with baby, playing with snapdragons, girl twirling a baton, girls running around, posing for camera on lawn. Boy walking towards camera, fire in wooded area. Water breaking on beach near Ross Bay. Little boy playing with snow in toy truck, girls practicing needlepoint, close view of pink flowers. Children pose for camera, two girls playing with doll, playing on swings. Indoor scene of family, food, and lanterns. People pushed around in a wheelchair. Parade, drill teams and pageant in stadium [Royal Athletic Park]. Victoria Day Parade down Douglas Street [viewed between Yates and Johnson Streets], with “Prescription Druggist” and Bank of Toronto in background. "Chinese Girls Drill Team" large "Chinese Community" float with "8 Immortals" scene, Chinese lion dancer and martial arts demonstration on Johnson Street. Shriners with “Gizeh Temple Shrine Oasis” banner behind them. Scottish marching band and Shriners passing Empress Hotel and go to legislative lawn and steps. Brief scene playing in a park, children on swings, These clips were initially intended for home, personal use. Silent film.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.095 | 0.014 |
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".