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Record W2119936133 · doi:10.1186/s40410-014-0017-y

Local security policies and the protection of territory: an analysis of the Italian experience (2007-2009)

2015· article· en· W2119936133 on OpenAlex
Marco Calaresu, Mauro Tebaldi

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCity Territory and Architecture · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
FundersUniversità degli Studi di SassariMinistero dell’Istruzione, dell’Università e della RicercaUniversity of LeicesterYork UniversityScuola Normale SuperioreUniversity of MinnesotaEmory University
KeywordsDimension (graph theory)Corporate governanceGovernment (linguistics)Regional scienceIdentification (biology)Variable (mathematics)Security analysisPublic administrationLocal governmentPolitical scienceSecurity policyPublic economicsBusinessGeographyComputer securityEconomicsComputer scienceFinance

Abstract

fetched live from OpenAlex

This paper explores the territorial dimension of local security policies, with reference to the “Security Pacts” signed in Italy between 2007 and 2009. These Security Pacts are an innovative instrument introduced by the central government, aimed at changing the model of security governance at the local level. After describing how Security Pacts have spread, and which institutional actors have participated in them, this study aims at deepening the analysis of their territorial dimension. More specifically, the research question at the basis of this study focuses on the identification of factors that can explain why the pacts feature variations in numbers and types of public administration at different levels, and why they tend to acquire particular spatial configurations rather than others. Three hypotheses are tested based on empirical data (obtained using a Quantitative Narrative Analysis with the aid of Geographic Information Systems and other statistical tools) used to identify which variable may best explain the propensity to use such pacts to solve security-related issues in different areas of the country.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.982

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 studies0.0000.002
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 head0.022
GPT teacher head0.270
Teacher spread0.248 · 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