From Smart Cities to Wise Cities: Studying Abroad in Digital Urban Space
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article analyzes the impact of experiential and inquiry-based learning exercises in a 2019 Toronto study abroad course on smart cities for first-year students. The course treated the city as a text to be read, analyzed, and unpacked. Students engaged with the disciplines of urban studies, critical race and ethnic studies, and surveillance studies in order to assess Toronto's smart city initiative while exploring firsthand how technology and urban planning currently structure the lived experiences of Toronto's inhabitants. Ultimately, students came to understand how data analytics order, pattern, and structure the complexity of urban life in ways that can be inclusionary and exclusionary, democratic and autocratic. They gained an appreciation for why a range of stakeholders with disparate social and economic power perceive smart city initiatives differently, and they theorized what it might mean to live in a wise city that accounts for history, ethics, and power.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 it