Territorial and touristic branding: urban history and the festive and economic perspectives of Montreal's Formula One Grand Prix
Bibliographic record
Abstract
Since its creation in 1978, the Formula One Canadian Grand Prix has taken an increasingly significant place in Montreal's event calendar. The loss of this event in 2009, mostly due to financial setbacks, further highlighted its influence on Montreal and the Province of Quebec's tourism industry and economy. Many political stakeholders used these specific arguments to justify the major public funds they disbursed in order to re-introduce Montreal's race in the 2010 F1 calendar. This article examines how the Montreal Grand Prix was established, planned and put to use in an urban and touristic perspective through a historical analysis, using concepts such as territorial and touristic branding, the festive city, and sports mega-event. At the same time, in order to highlight the structuring effects of this event on the local and regional tourism industry, we will present in-depth reflexions on the economic and festive benefits of the event.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".