A comparative analysis of place branding in Michigan and Ontario
Bibliographic record
Abstract
Place branding has increasingly been adopted as a municipal initiative to change the trajectory of local economic development. Specifically, local municipalities and communities have used place branding not only as a response to the influence of globalization and neo-liberalism, but also economic challenges and restructuring. Like any other initiative, the ultimate goal is to enhance the economic and social well-being of local jurisdictions. Although a popular strategy, it is not clear if and how locally specific factors mediate the process. By comparing two cross-border geographical areas, this study attempts to identify how regional variability in the manifestation of political-economic forces, as well as geographical influences, affects the use of place branding at local scales. Every municipality in Michigan (n = 1774) and Ontario (n = 414) was systematically examined for the presence and message of local place brands as presented through logos and slogans. The comparative analysis demonstrated that Ontario’s municipalities utilized place branding to a greater extent, and that the dominant messages differ by region. Further, this analysis shows that – beyond political differences – geographical context appears to have an effect on both local place branding usage and message.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".