MRM: Multilevel Reconciliation Methodology A multi-source statistical foundation for Canadian carceral, police, and oversight data

A coordinated set of estimators and identification primitives that unifies five public Canadian data sources (OTIS, SIU-IAP, Ontario SIU, TPS, CCRSO) under one schema-reconciliation pattern. MRM operates on microdata at the individual (c11) and placement (b01) levels, and on chi-square summaries at the aggregate level — the "multilevel" part captures the dual operation; "reconciliation" captures the source schema integration.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20096074
Primary Topic
Crime Patterns and Interventions
Type
preprint
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preprint

MRM: Multilevel Reconciliation Methodology A multi-source statistical foundation for Canadian carceral, police, and oversight data

Vansh Singh Ruhela
Zenodo (CERN European Organization for Nuclear Research)
Crime Patterns and Interventions
preprint

MRM: Multilevel Reconciliation Methodology A multi-source statistical foundation for Canadian carceral, police, and oversight data

Vansh Singh Ruhela
preprint en

Abstract

A coordinated set of estimators and identification primitives that unifies five public Canadian data sources (OTIS, SIU-IAP, Ontario SIU, TPS, CCRSO) under one schema-reconciliation pattern. MRM operates on microdata at the individual (c11) and placement (b01) levels, and on chi-square summaries at the aggregate level — the "multilevel" part captures the dual operation; "reconciliation" captures the source schema integration.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Crime Patterns and Interventions
DOIOpen Access PDFOpenAlex
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MRM: Multilevel Reconciliation Methodology A multi-source statistical foundation for Canadian carceral, police, and oversight data — Vansh Singh Ruhela · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS