Walmsley, C., & Kading, T. (Eds.). (2018). Small cities, big issues: Reconceiving community in a neoliberal era. Edmonton, Canada: Athabasca University.
Bibliographic record
Abstract
As the title suggests, the book Small cities, big issues: Reconceiving community in a neoliberal era takes a critical look at the complex social issues facing small Canadian cities – namely, Kamloops, Kelowna, Nanaimo and Prince George. Part one presents a reflection of displacement, isolation and Othering, echoing a dominant discourse of diversity as deficiency through communal responses to a variety of issues – specifically, homelessness, the street sex trade, illicit drug use, queerness, deinstitutionalization, the reintegration of parolees and finally, decolonization. While at first glance these issues may appear to be drastically different, they are in fact intimately connected by both the responses they elicit and the actions they can inspire. Individually and collectively, part one is a call to all Canadians – those who are typically silenced and those who are members of institutions, community groups and all levels of government – to collaboratively reframe our notion of community. In doing so, we commit to ensuring that each one of us, regardless of our differences, feels valued and included – a True North reflection of diversity as strength. Part two focuses on how we can build such inclusive communities by encouraging us to reflect on our social policies and our social responsibilities – thus calling into question the myth of Canada as fair and just. In essence, it is no longer enough to simply talk the talk of social inclusion, we must also walk the walk.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".