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Record W2996692448

Downtown ambassadors: Exploring a new node in the security assemblage

2008· article· en· W2996692448 on OpenAlexaboutno aff
Mark Sleiman

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsAssemblage (archaeology)DowntownNode (physics)GeographyComputer securityComputer scienceEngineeringArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This research thesis assesses the workings and governance implications of hospitality and security enhancement teams referred to as 'ambassadors' in the C.-- downtowns of three Ontario cities undertaking urban regeneration efforts. Through the analysis of employee manuals and seventeen in-depth interviews with ambassadors, their supervisors and local police representatives, this study examines the specific ways in which ambassadors fulfill elements of security provision. The central foci of ambassadors' practices are found to be surveillance, the collection and dissemination of knowledge, and legal enforcement through the invocation of municipal law. This thesis analyzes these findings within the framework of the sociology of governance and specifically a nodal network perspective. It is argued that through a dominant 'clean and safe' governing mentality and by avoiding the appearance of security provider, ambassadors police downtowns for a business-oriented order. Consequently, ambassadors can be understood as an innovative and agile—yet comparatively weak—node in the network of downtown security and governance.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.482

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.013
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.141
GPT teacher head0.341
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

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