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Record W2903380999 · doi:10.33524/cjar.v19i2.387

Walmsley, C., & Kading, T. (Eds.). (2018). Small cities, big issues: Reconceiving community in a neoliberal era. Edmonton, Canada: Athabasca University.

2018· article· en· W2903380999 on OpenAlexaffvenueabout
Shelina Adatia

Bibliographic record

VenueThe Canadian Journal of Action Research · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCognitive reframingCommitSociologyGovernment (linguistics)Diversity (politics)Agency (philosophy)Political scienceVariety (cybernetics)Gender studiesMedia studiesPublic administrationLawSocial scienceSocial psychologyPsychology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.126
GPT teacher head0.293
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes3
Has abstractyes

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