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False security or greater social inclusion? Exploring perceptions of CCTV use in public and private spaces accessed by the homeless

2010· article· en· W1894429431 on OpenAlex

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.

Bibliographic record

VenueBritish Journal of Sociology · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsWestern University
Fundersnot available
KeywordsPerceptionInclusion (mineral)Internet privacyComputer securitySocial securityPrivate securityPsychologyBusinessPublic relationsComputer scienceSociologyPolitical scienceSocial psychologyPublic administration

Abstract

fetched live from OpenAlex

It has been well documented that owing to the vulnerability inherent in their situation and status, the homeless experience high rates of harassment and criminal victimization. And yet, the question of whether CCTV surveillance of public and private spaces - so frequently viewed by the middle classes as a positive source of potential security - might also be viewed by the homeless in similar ways. Within the present paper, I address this issue by considering the possibility that CCTV might be seen by some homeless men and women as offering: a) a measure of enhanced security for those living in the streets and in shelters, and; b) to the extent that security is conceived of as a social good, the receipt of which marks one as a citizen of the state, a means by which they can be reconstituted as something more than 'lesser citizens'. To test these ideas, I rely on data from interviews conducted with homeless service users, service providers for the homeless, and police personnel in three cities. What is revealed is a mixed set of beliefs as to the relative security and meaning of CCTV.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.105
GPT teacher head0.393
Teacher spread0.287 · 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