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Validating corruption risk measures: a key step to monitoring SDG progress

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Michela Gnaldi, Simone Del Sarto

Applications · Submitted 4 Sep 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Results show a multidimensional structure composed of sub-groups of red flag indicators i. measuring distinct corruption risk categories, which differ in nature, type and entity, and are generally non-superimposable; ii. mirroring distinct dynamics related to specific SDG principles and targets.

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arXiv ID2309.01462 (version 1)
Pith IDEU543U4G, Pith's permanent record of this paper and its review
CitationMichela Gnaldi, Simone Del Sarto. "Validating corruption risk measures: a key step to monitoring SDG progress." arXiv:2309.01462 (2023). https://pith.science/paper/EU543U4G
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,732 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.10 · human participants 0.06 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.52 · compares with prior results 0.07 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

The Agenda 2030 recognises corruption as a major obstacle to sustainable development and integrates its reduction among SDG targets, in view of developing peaceful, just and strong institutions. In this paper, we propose a method to assess the validity of corruption indicators within an Item Response Theory framework, which explicitly accounts for the latent and multidimensional facet of corruption. Towards this main aim, a set of fifteen red flag indicators of corruption risk in public procurement is computed on data included in the Italian National Database of Public Contracts. Results show a multidimensional structure composed of sub-groups of red flag indicators i. measuring distinct corruption risk categories, which differ in nature, type and entity, and are generally non-superimposable; ii. mirroring distinct dynamics related to specific SDG principles and targets.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The Agenda 2030 recognises corruption as a major obstacle to sustainable development and integrates its reduction among SDG targets, in view of developing peaceful, just and strong institutions. background 1.00 0.03 0.02 asserted 1.00
s1 In this paper, we propose a method to assess the validity of corruption indicators within an Item Response Theory framework, which explicitly accounts for the latent and multidimensional facet of corruption. contribution 0.80 0.91 0.05 asserted 0.95
s2 Towards this main aim, a set of fifteen red flag indicators of corruption risk in public procurement is computed on data included in the Italian National Database of Public Contracts. method 0.98 0.96 0.03 asserted 0.98
s3 Results show a multidimensional structure composed of sub-groups of red flag indicators i. measuring distinct corruption risk categories, which differ in nature, type and entity, and are generally non-superimposable; ii. mirroring distinct dynamics related to specific SDG principles and targets. result 0.98 0.96 0.85 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.97 · evidence from analysis of existing data 0.99.

What was examined, and what was not

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  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The Agenda 2030 recognises corruption as a major obstacle to sustainable development and integrates its reduction among SDG targets, in view of developing peaceful, just and strong institutions. In this paper, we propose a method to assess the validity of corruption indicators within an Item Response Theory framework, which explicitly accounts for the latent and multidimensional facet of corruption. Towards this main aim, a set of fifteen red flag indicators of corruption risk in public procurement is computed on data included in the Italian National Database of Public Contracts. Results show a multidimensional structure composed of sub-groups of red flag indicators i. measuring distinct corruption risk categories, which differ in nature, type and entity, and are generally non-superimposable; ii. mirroring distinct dynamics related to specific SDG principles and targets.

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