The Arts and Local Economic Development: Can a Strong Arts Presence Uplift Local Economies? A Study of 135 Canadian Cities
Bibliographic record
Abstract
The paper looks at arts-related employment in 135 Canadian urban areas over 35 years (1971–2006), successively examining location patterns, co-location with knowledge-rich industries and impacts on employment growth. Arts-related employment is found to be highly concentrated in the very largest urban centres, with no indication of change. Smaller places with particular attributes (attractive natural setting, proximity to large urban centres) are increasingly successful in attracting arts-related activities, but this is not necessarily associated with stronger employment growth or the development of knowledge-rich industries. Evidence of co-location with knowledge-rich industries is weak, but stronger for larger cities. No consistently significant relationship exists with employment growth. This holds true for all cities, irrespective of size. If a synergy exists between the arts and local development, the paper concludes, it is limited to specific industries and only operates in the context of large cities.
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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 | 0.000 | 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 | 0.002 | 0.001 |
| 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".