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Record W1903908795 · doi:10.29173/cjs7419

CCTV SURVEILLANCE AND THE CIVIC CONVERSATION: A STUDY IN PUBLIC SOCIOLOGY

2010· article· en· W1903908795 on OpenAlex
D. Lett, Sean P. Hier, Kevin Walby

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Sociology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsUniversity of TorontoUniversity of Victoria
Fundersnot available
KeywordsConversationSociologyPublic sociologySocial sciencePublic relationsMedia studiesPolitical science

Abstract

fetched live from OpenAlex

The captivating idea of ‘public sociology’ has recently been debated across the social sciences. Although the debate has raised significant questions about the status of sociological knowledge production, insufficient attention has been devoted to thinking about how sociologists concretely enter into a civic conversation through the research process. Addressing this gap in the public sociology literature, we present partial findings from a Canada-wide investigation of how public-area streetscape video surveillance systems are implemented in various communities to think through some of the implications of actually doing public sociology. Data gleaned from focused group interviews in the City of Kelowna, British Columbia are presented to explore the challenges of facilitating a civic conversation about public policy on streetscape video surveillance.

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 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)0.017
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.322
Teacher spread0.259 · 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