Small Cities, Big Issues: Reconceiving Community in a Neoliberal Era
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
Small Canadian cities confront serious social issues as a result of the neoliberal economic restructuring practiced by both federal and provincial governments since the 1980s. Drastic spending reductions and ongoing restraint in social assistance, income supports, and the provision of affordable housing, combined with the offloading of social responsibilities onto municipalities, has contributed to the generalization of social issues once chiefly associated with Canada’s largest urban centres. As the investigations in this volume illustrate, while some communities responded to these issues with inclusionary and progressive actions others were more exclusionary and reactive—revealing forms of discrimination, exclusion, and “othering” in the implementation of practices and policies. Importantly, however their investigations reveal a broad range of responses to the social issues they face. No matter the process and results of the proposed solutions, what the contributors uncovered were distinctive attributes of the small city as it struggles to confront increasingly complex social issues. If local governments accept a social agenda as part of its responsibilities, the contributors to <em>Small Cities, Big Issues</em> believe that small cities can succeed in reconceiving community based on the ideals of acceptance, accommodation, and inclusion.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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