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Record W2077236469 · doi:10.1177/1206331211430017

Signifying Security

2012· article· en· W2077236469 on OpenAlex
Kevin D. Haggerty, Camille Tokar

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSpace and Culture · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicNight-time city culture
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsPrivate securityEthnographySign (mathematics)Value (mathematics)SociologyPublic relationsComputer securityMedia studiesInternet privacyBusinessPolitical scienceComputer sciencePublic administration

Abstract

fetched live from OpenAlex

ID scanning systems have become a fixture at the entrances of private bars and nightclubs in many North American jurisdictions. This article draws from an ongoing ethnographic study to interrogate the diverse appeals of such devices to institutional audiences. The authors situate these devices within the occupational culture and routines of door staff, and accentuate how the real world operation of these tools can at times circumvent any promised security gains. They then consider why the devices are nonetheless appealing to nightclub representatives because of their potential sign value that allows bar staff to advance preferred sets of communications with influential audiences.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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