Urban virtues and the innovative city: An experiment in placing innovation in Edmonton, Canada
Bibliographic record
Abstract
In the highly competitive landscape of global cities and entrepreneurial urbanism, the development goals of cities are increasingly framed through discourses of ‘innovation’. In this paper we critically examine this relationship through a case study exploring the attempt to build a nanotechnology sector in Edmonton, Alberta. Adopting a collaborative research methodology involving citizen engagement and urban touring, we explore participant representations of Edmonton as an ‘innovative city’. The conversations we had with participants follow some common themes within an emerging literature on innovation geographies, for instance as related to network collaborations and quality of life. However, participants furthermore articulated innovation pathways which were more closely linked to local identities and values within the city, including negative place narratives. We argue that paying attention to these ‘virtues of place’ can assist cities to counteract trends towards the homogenisation of urban innovation strategy, and affix the ‘innovative city’ to more socially robust articulations of the future prosperity and the possibility of place.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".