A Desirable Future: Uber as Image-Making in Winnipeg
Bibliographic record
Abstract
Abstract This paper investigates the sociotechnical imaginary surrounding Uber’s supposedly imminent arrival in Winnipeg, through an examination of communication in the public sphere. We examine how actors mobilized their communicative resources in efforts to either bring ride-hailing or keep it away. For some advocates, ride-hailing technology was less important than Uber’s symbolic value of building Winnipeg’s image as an innovative city. Media coverage contrasted innovation and Uber with Winnipeg’s anxieties about being behind other cities and its taxi industry’s reputation as stuck in the past. These visions of Winnipeg’s future addressed an unspoken White, middle-class city dweller. While Winnipeg’s transportation industry was shaped by the socially located experiences of racialized immigrant men as taxi drivers and Indigenous women as passengers, these actors had less power to shape the imaginary. Our analysis suggests that cities like Winnipeg view Uber as an image-making product as much as a beneficial service for their citizens.
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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 | 0.000 | 0.000 |
| 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".