Reel Time: Movie Exhibitors and Movie Audiences in Prairie Canada, 1896 to 1986
Bibliographic record
Abstract
In this authoritative work, Seiler and Seiler argues that the establishment and development of moviegoing and movie exhibition in Prairie Canada is best understood in the context of changing late-nineteenth-century and early-twentieth-century social, economic, and technological developments. From the first entrepreneurs who attempted to lure customers in to movie exhibition halls, to the digital revolution and its impact on moviegoing, Reel Time highlights the pivotal role of amusement venues in shaping the leisure activities of working- and middle-class people across North America. As marketing efforts, the lavish interiors of the movie palace and the romantic view of the local movie theatre concealed a competitive environment in which producers, exhibitors, and distributors tried to monopolize the industry and drive their rivals out of business. The pitched battles and power struggles between national movie theatre chains took place at the same time that movie exhibitors launched campaigns to reassure moviegoers that theatres were no longer the
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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 | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".