Christine Martins
Biographic Data
| ID | 3797940 |
|---|---|
| NAME | Christine Martins |
| GIVEN NAMES | Christine |
| FAMILY NAME | Martins |
| SIGNATURE | MARTINS C |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 19 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 2 |
Enlisting Supervised Machine Learning in Mapping Scientific Uncertainty Expressed in Food Risk Analysis
Recently, both sociology of science and policy research have shown increased interest in scientific uncertainty. To contribute to these debates and create an empirical measure of scientific uncertainty, we inductively devised two systems of classification or ontologies to describe scientific uncertainty in a large corpus of food safety risk assessments with the help of machine learning (ML). We ask three questions: (1) Can we use ML to assist wit…
What Touched Your Heart? Collaborative Story Analysis Emerging From an Apsáalooke Cultural Context
Community-based participatory research and decolonizing research share some recommendations for best practices for conducting research. One commonality is partnering on all stages of research; co-developing methods of data analysis is one stage with a deficit of partnering examples. We present a novel community-based and developed method for analyzing qualitative data within an Indigenous health study and explain incompatibilities of existing met…
Influence of Race and Ethnicity on Charge Severity in Chicago Homicide Cases
This research examines prosecutorial decision making at the initial charging stage in Chicago homicide cases during the late 1990s. The objectives of this investigation are to determine whether African Americans were prosecuted more severely than similarly situated White and Latino defendants in Chicago homicide cases prior to the abolition of the death penalty in Illinois and to identify the factors that affected how severely prosecutors prosecu…
What Touched Your Heart? Collaborative Story Analysis Emerging From an Apsáalooke Cultural Context
Community-based participatory research and decolonizing research share some recommendations for best practices for conducting research. One commonality is partnering on all stages of research; co-developing methods of data analysis is one stage with a deficit of partnering examples. We present a novel community-based and developed method for analyzing qualitative data within an Indigenous health study and explain incompatibilities of existing met…
Enlisting Supervised Machine Learning in Mapping Scientific Uncertainty Expressed in Food Risk Analysis
Recently, both sociology of science and policy research have shown increased interest in scientific uncertainty. To contribute to these debates and create an empirical measure of scientific uncertainty, we inductively devised two systems of classification or ontologies to describe scientific uncertainty in a large corpus of food safety risk assessments with the help of machine learning (ML). We ask three questions: (1) Can we use ML to assist wit…
Influence of Race and Ethnicity on Charge Severity in Chicago Homicide Cases
This research examines prosecutorial decision making at the initial charging stage in Chicago homicide cases during the late 1990s. The objectives of this investigation are to determine whether African Americans were prosecuted more severely than similarly situated White and Latino defendants in Chicago homicide cases prior to the abolition of the death penalty in Illinois and to identify the factors that affected how severely prosecutors prosecu…
Influence of Race and Ethnicity on Charge Severity in Chicago Homicide Cases
This research examines prosecutorial decision making at the initial charging stage in Chicago homicide cases during the late 1990s. The objectives of this investigation are to determine whether African Americans were prosecuted more severely than similarly situated White and Latino defendants in Chicago homicide cases prior to the abolition of the death penalty in Illinois and to identify the factors that affected how severely prosecutors prosecu…
What Touched Your Heart? Collaborative Story Analysis Emerging From an Apsáalooke Cultural Context
Community-based participatory research and decolonizing research share some recommendations for best practices for conducting research. One commonality is partnering on all stages of research; co-developing methods of data analysis is one stage with a deficit of partnering examples. We present a novel community-based and developed method for analyzing qualitative data within an Indigenous health study and explain incompatibilities of existing met…
Enlisting Supervised Machine Learning in Mapping Scientific Uncertainty Expressed in Food Risk Analysis
Recently, both sociology of science and policy research have shown increased interest in scientific uncertainty. To contribute to these debates and create an empirical measure of scientific uncertainty, we inductively devised two systems of classification or ontologies to describe scientific uncertainty in a large corpus of food safety risk assessments with the help of machine learning (ML). We ask three questions: (1) Can we use ML to assist wit…
Sociology (3 works) · Computer Science (2 works) · Political science (2 works) · Psychology (2 works) · Advanced Text Analysis Techniques (1 work) · Citizen journalism (1 work) · Community Health and Development (1 work) · Computational and Text Analysis Methods (1 work) · Context (archaeology) (1 work) · Crime Patterns and Interventions (1 work)