Bibliographic record
Abstract
New York is awash in Canadian citizens, cultural events and consulates. Two consular bodies and five Canadian organizations serve the upwards of 100,000 Canadians living in the Tri-State area (New York, New Jersey and Connecticut). Each consulate has a cultural development program and boasts a publication announcing upcoming Canadian cultural events in New York.2 Moreover, mediatized images of Canada have successfully permeated New York’s popular consciousness. In fashion, American designer Isaac Mizrahi documented his 1994 fall fashion-homage to Nanook of the North in the film Unzipped. In music, two of America’s favourite “divas” are Canadian Céline Dion and Shania Twain formed the core of VH-1’s runaway success, Divas Live. In film, Mike Myers’s enormous popularity rests in part on Saturday Night Live’s “Wayne” and “Garth,” two heavy-metal fans from Scarborough. Atom Egoyan’s The Sweet Hereafter (1998) garnered an Academy Award nomination. Female lead Sarah Polley was one of Vanity Fair’s up-and-coming actors in April 1999. The most visible media images of Canada are Molson’s “Joe Canadian” series of television advertisements (premiered in March 2000) and Matt Stone and Trey Parker’s movie musical satire, South Park: Bigger, Longer and Uncut (released in June 1999). Pop culture iterations of Canada seem to be everywhere.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.043 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".