Moose Jaw’s Tunnel Vision: Mystery, History, and the Construction of “Canada’s Most Notorious City”
Bibliographic record
Abstract
The Tunnels of Moose Jaw is a tourist attraction that presents an award-winning but highly problematic interpretation of Moose Jaw’s early 20th-century history. This article explains how the Tunnels of Moose Jaw constructed a successful and compelling presentation of local legends centered around the claim that “notorious” Chicago-based gangster Al Capone hid out beneath Moose Jaw during Prohibition. With scant evidence to prove this and other claims, the attraction has blurred the lines between “history” and “legend.” Unfortunately, the attraction’s focus on incorrect information has made it difficult for Moose Jaw’s residents and visitors to understand what aspects of the city’s history are truly noteworthy. This article argues that the Tunnels of Moose Jaw and its many local supporters successfully boosted the city’s economy, confidence, and reputation at a crucial turning point in the late 20th century, but did so by presenting the city and its history as something other than what it really is.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".