In the Sentrix project, we pursue an ambitious goal: to create a map of sentencing, to sketch a representation of a terrain far more intricate than it first appears. Sentencing is not a tidy territory; it is dense, uneven, and alive. It includes statutory rules, professional habits, institutional cultures, moral intuitions, emotional reactions, career trajectories, and the subtle choreography of courtroom interaction. It contains legal reasoning and human storytelling in the same breath. Sentencing resists simplification. And yet, without simplification, there is no overview.
Sentencing is not a tidy territory; it is dense, uneven, and alive.
A map, by its nature, reduces. It smooths rough edges, compresses distances, and leaves out countless details. No map can capture every contour or every subtle shift in elevation. But what it makes possible is perspective. It allows us to step back and see relationships that are otherwise invisible — where paths intersect, where boundaries emerge, where patterns repeat across space.
Without a map, we remain immersed in detail, attentive to what lies directly before us but unable to grasp the structure of the terrain as a whole.
Sentencing research already contains many partial maps. We have rich qualitative accounts that immerse us in courtroom life, statistical analyses that reveal disparities across cases and jurisdictions, doctrinal studies that trace the evolution of legal reasoning. Each of these illuminates a portion of the landscape. What is often missing is a representation that connects these fragments into a coherent view of how the elements relate to one another. Drawing that representation is what we mean when we speak of building a map of the sentencing environment.
Mapping the Sentencing Environment: An Explicit Cartography
Of course, any map reflects choices. It selects certain features as relevant and sets others aside. The constructs we define, the scale at which we operate, and the mechanisms we assume all shape what becomes visible. Different maps of the same terrain can yield very different impressions, not because one is necessarily false, but because each emphasizes different contours. Our task is not to produce the definitive map of sentencing. It is to make our cartography explicit, transparent, and revisable. Even with this more modest aim, the map of sentencing environment that we will construct will be far from a final one, and even further from a perfect one. But it will be coherent enough to reveal patterns that remain invisible when we focus solely on individual cases.
At some point, a map can become more than a static depiction. A traditional map shows where rivers and mountains lie, but it does not show how water flows during a storm or how erosion reshapes the land over time. To understand movement and interaction, the map must become dynamic. It must encode processes rather than simply positions. When a map begins to represent how changes in one part of the terrain influence others, it becomes a model.
Sentencing decisions take shape within structured environments, and structure, whether we notice it or not, leaves fingerprints on outcomes.
This is the moment at which we start modelling judges as components within a structured system. Not because we imagine judges as mechanical actors, but because sentencing decisions take shape within structured environments, and structure, whether we notice it or not, leaves fingerprints on outcomes. Legal ranges establish boundaries.
Procedural rules determine what information enters and when. Default expectations shape perceptions. Institutional incentives and professional norms subtly influence interpretation. These elements do not operate in isolation; they interact.
Making Mechanisms Visible
A dynamic representation of the sentencing environment allows us to explore what happens when one element shifts and others respond. It enables us to ask how variation propagates through the system, how small structural differences, repeated across hundreds or thousands of cases, accumulate into patterned outcomes. It forces us to specify mechanisms rather than rely on general invocations of “context” or “culture,” and in doing so, it exposes our assumptions to scrutiny.
This is where discomfort often surfaces. Modelling, critics argue, flattens complexity and risks mistaking representation for reality. The concern is understandable. But the alternative is not a purer grasp of the territory; it is often a reliance on implicit models that remain unexamined. When mechanisms are left vague, they are harder to criticize. When they are formalized, even imperfectly, their implications become traceable, contestable, and revisable.
Our maps will be partial, our models provisional
A dynamic map can be stress-tested, adjusted, and refined in light of evidence. It can incorporate insights drawn from qualitative research and examine whether those insights generate patterns consistent with observed data. In that sense, modelling can serve as a bridge between scales, linking lived experience to aggregate outcomes without collapsing one into the other.
Despite our best efforts, the territory of sentencing will always exceed our representations of it. Our maps will be partial, our models provisional. They will omit nuance and require revision. But without drawing the map, and without allowing that map to become dynamic, we have little chance of understanding how individual decisions connect into a system.
Dean Lipovac
author
