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Record W4392374551 · doi:10.1177/00420980241231240

‘Everything-old-is-new-again’: Private urban security governance responses to new harmscapes

2024· article· en· W4392374551 on OpenAlexaff
Julie Berg, Clifford Shearing

Bibliographic record

VenueUrban Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrivate securityCorporate governancePublic administrationBusinessPolitical scienceComputer securityComputer scienceFinance

Abstract

fetched live from OpenAlex

This article reflects on the proliferation of novel forms of private urban security governance assemblages, specifically the roles of private auspices and providers in responding to contemporary climate-related socio-material harmscapes. The authors use the lens of climatic harms and associated discursive shifts in understandings of the relationship between humans and ‘nature’ to draw attention to gating adaptations, assemblages of powers and capacities being mobilised in response to emerging harmscapes, the logics and technologies underpinning these developments, the roles of established security agents and novel security professionals and the use of resilience as a conceptual framing. These security governance ventures are conceived of as mutating private urban security governance vestiges from PUSG 1.0 to PUSG 2.0 and in this regard, ‘climate gating’ is used as an emblematic example in exploring PUSG 2.0.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.046
GPT teacher head0.355
Teacher spread0.309 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

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