Bibliographic record
Abstract
This is an exciting new collection sure to create ripples throughout Canadian film studies … an important new addition to the literature on Canadian screen culture. - Zoë Druick, School of Communication, Simon Fraser University Rain/Drizzle/Fog : Film and Television in Atlantic Canada is the first scholarly study of film and television in Atlantic Canada. With contributors from across the country, the book provides a broad historical overview of film and television in the region, as well as essays on specific topics in contemporary popular television (Trailer Park Boys), early television (Don Messer's Jubilee), and the work of filmmakers such as Bill MacGillivray, Andrea Dorfman, Thom Fitzgerald, and others. This collection is informed by a critical perspective on prevailing stereotypes of culture in the Atlantic region, as well as by history and political-economy debates on the relationship between Atlantic and central Canada. It is also in large part a response to the continued marginalization of regional film and television within the field of Canadian film studies, which has traditionally been dominated by a critical and artistic canon from central Canada and Quebec. Rain/Drizzle/Fog challenges the prevailing tendency to homogenize the complexity of Canadian cultural production and instead celebrates the regional distinctions that make Atlantic film and television unique. With Contributions By: Bruce Barber Andrew Burke Gregory Canning Noreen Golfman Sylvia D. Hamilton Colin Howell MalekKhouri John Mccullough Peter L. Twohig Jen Vanderburg DarrellVarga Pierre Veronneau Jerry White Tracy Y. Zhang
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.091 | 0.018 |
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".