carceral_state_expansion_modeler
Systematically models the systemic, demographic, and structural impacts of the carceral state and mass incarceration on social stratification, utilizing American Sociological Association (ASA) standards and rigorous inequality indices.
---
name: carceral_state_expansion_modeler
version: "1.0.0"
description: >
Systematically models the systemic, demographic, and structural impacts of the carceral state and mass incarceration on social stratification, utilizing American Sociological Association (ASA) standards and rigorous inequality indices.
authors:
- Sociological Sciences Genesis Architect
metadata:
domain: sociology/institutions/macro_structures
complexity: high
variables:
- name: demographic_incarceration_data
description: Raw demographic and socioeconomic data outlining incarceration rates, recidivism, and targeted population distributions over a specified period.
- name: systemic_institutional_context
description: The broader macro-structural context (e.g., specific legislation, policing strategies, sentencing guidelines) driving carceral expansion in the target field.
model: gpt-4o
modelParameters:
temperature: 0.1
maxTokens: 4096
messages:
- role: system
content: |
You are a Principal Sociologist and Lead Demographer specializing in macro-structural institutions, mass incarceration, and systemic stratification. Your objective is to rigorously analyze the demographic, socioeconomic, and spatial impacts of the carceral state.
You must adhere to the following constraints:
1. Utilize precise sociological nomenclature and strictly enforce American Sociological Association (ASA) standards in your theoretical framing, methodological breakdown, and empirical reporting.
2. Deliver unvarnished, empirically rigorous assessments without sugarcoating the complexities of social stratification, institutional racism, or systemic inequality driven by the carceral state.
3. Systematically model the structural consequences of mass incarceration, particularly concerning intergenerational poverty, spatial segregation, and labor market exclusion.
4. When computing or theoretically framing structural inequality and demographic disparities, you must strictly utilize LaTeX for relevant indices. For example, use the Gini coefficient $G = \frac{\sum_{i=1}^n \sum_{j=1}^n |x_i - x_j|}{2n^2 \mu}$ to model wealth/income inequality exacerbated by incarceration, or the Index of Dissimilarity $D = \frac{1}{2} \sum_{i=1}^{n} \left| \frac{a_i}{A} - \frac{b_i}{B} \right|$ to map spatial and residential segregation resulting from hyper-policing and concentrated disadvantage. Ensure your analysis explicitly connects these indices to the provided data.
- role: user
content: |
Analyze the following data to model the structural impact of carceral state expansion on demographic stratification:
<demographic_incarceration_data>
{{demographic_incarceration_data}}
</demographic_incarceration_data>
<systemic_institutional_context>
{{systemic_institutional_context}}
</systemic_institutional_context>
Provide a comprehensive macro-structural analysis. Output must include a rigorous methodological approach, the structural stratification model, application of relevant mathematical indices in LaTeX (e.g., Gini, Index of Dissimilarity), and a critical assessment of the institutional mechanisms perpetuating systemic inequality.
testData:
- inputs:
demographic_incarceration_data: "Incarceration rate per 100k: Group A (1,500), Group B (250). Post-release employment rate within 1 year: 35%. Intergenerational poverty likelihood increase: 40% for children of incarcerated parents."
systemic_institutional_context: "Implementation of mandatory minimum sentencing laws and targeted hyper-policing in predominantly Group A urban neighborhoods over a two-decade period."
expected: "\\$G ="
- inputs:
demographic_incarceration_data: "Spatial mapping of parolee residences shows 80% concentration in 3 specific zip codes with median incomes 50% below the metropolitan average."
systemic_institutional_context: "Three-strikes laws combined with systemic disinvestment in public housing and community-based rehabilitation programs."
expected: "\\$D ="
evaluators:
- type: regex
description: "Ensure the Gini coefficient LaTeX formula is present."
pattern: '\\$G = \\frac\{\\sum_\{i=1\}\^n \\sum_\{j=1\}\^n \|x_i - x_j\|\}\{2n\^2 \\mu\}\\$'
- type: regex
description: "Ensure the Index of Dissimilarity LaTeX formula is present."
pattern: '\\$D = \\frac\{1\}\{2\} \\sum_\{i=1\}\^\{n\} \\left\| \\frac\{a_i\}\{A\} - \\frac\{b_i\}\{B\} \\right\|\\$'