In this paper you studied racial and gender disparities in award nominations within the Chicago Police Department. Drawing on a large dataset including policing activities and award nominations, the study aims to prove and extend the findings of a previous work by Rim et al. (2020).
The paper effectively replicate the methodology used by Rim et al. (2020). The inclusion of additional factors such as years of experience adds depth to the examination of disparities, showing a better understanding of potential variables influencing award nominations. The provision of code and data availability by a GIthub link promotes transparency and future research. All the folders are well in structure.
However, there are some limitations. Firstly, the study focuses only on the Chicago Police Department, limiting the generalizability of its findings to other police departments with different situations. Secondly, the paper relies on a dataset obtained from a prior dataset without raw data. This may bring about unexplored variables and updates. Lastly, the paper uses broad ethnic categories (e.g., Hispanic, Asian) without further classification. A more detailed classification may provide additional insights. Please pay attention to your LLM statement in README and R citation.
In this paper you studied racial and gender disparities in award nominations within the Chicago Police Department. Drawing on a large dataset including policing activities and award nominations, the study aims to prove and extend the findings of a previous work by Rim et al. (2020).
The paper effectively replicate the methodology used by Rim et al. (2020). The inclusion of additional factors such as years of experience adds depth to the examination of disparities, showing a better understanding of potential variables influencing award nominations. The provision of code and data availability by a GIthub link promotes transparency and future research. All the folders are well in structure.
However, there are some limitations. Firstly, the study focuses only on the Chicago Police Department, limiting the generalizability of its findings to other police departments with different situations. Secondly, the paper relies on a dataset obtained from a prior dataset without raw data. This may bring about unexplored variables and updates. Lastly, the paper uses broad ethnic categories (e.g., Hispanic, Asian) without further classification. A more detailed classification may provide additional insights. Please pay attention to your LLM statement in README and R citation.