Challenges, motivations, and desires of downtown revitalizers
Bibliographic record
Abstract
Purpose This study aims to identify the motivations, challenges and desires of the various actors working in contemporary downtown revitalization in mid-sized cities. Design/methodology/approach Using Spokane, Washington, as a case study, 24 semi-structured interviews were conducted with key players in downtown redevelopment, including public administrators, private developers and non-profit representatives. Findings Results indicate that those conducting renewal projects are primarily motivated by economics, but additionally cite heritage preservation values and community development as significant factors. Moreover, contemporary renewal projects are found to be small-scale endeavours, undertaken by individual private investors, as government involvement has significantly diminished. Revitalizers tended to express frustration with a lack of investor and public awareness regarding renewal opportunities, suggesting that increased information dissemination might promote further renewal work within mid-sized urban downtowns. Originality/value Findings provide insight into issues with neoliberal policies in addressing contemporary urban issues, and suggest a more nuanced understanding of contemporary urban development processes beyond the narrowly defined profit-driven paradigm.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".