Bibliographic record
Abstract
Atlantic Canada has a rich tradition of storytelling and creativity that has extended to critical and audience praise for films from the region’s four provinces. Until now there has been no comprehensive history of this diverse body of work. In Shooting from the East, Darrell Varga traces the emergence of art cinema in the 1970s and ’80s, and subsequent rise of a contemporary commercial feature film and television industry by way of representative examples of a great range of titles, including The Adventure of Faustus Bidgood, Life Classes, The Disappeared, and Trailer Park Boys. He provides analysis of documentary filmmaking to emphasize concerns such as the establishment of the regional National Film Board studio and the influence of broadcast policy, but also considers significant recurring themes including the environment, the body, race and First Nations, and the North. Through critical analyses of key films and interviews conducted with filmmakers from all corners of the region, Varga uncovers patterns of meaning across diverse productions and interrogates the concept of region in relation to prevailing notions of national cinema and transnational media culture. With a focus on short films and an extensive history and analysis of the filmmaking production co-operatives located in each province, Shooting from the East sheds light on the creative processes and local economic and cultural conditions for making images on the edge of the Atlantic.
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 | 0.000 |
| 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 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".