Division of Labor
To ensure smooth progress, we will assign roles based on group members' strengths and interests, rotating the Project Manager role to maintain balance. Here is the proposed division of labor:
Project Manager (Rotating): Oversees project progress, sets deadlines, and coordinates meetings. Ensures task completion and handles any issues that arise during each phase.
Historical Data Specialist (Francis A.): Responsible for exploring, collecting, and processing the Historical Children's Literature Collection. This includes identifying relevant texts and extracting useful data from scanned images and descriptions. Member 1 will also work on understanding historical context and adding it to the analysis.
Contemporary Data Specialist (Cindy L.): Focuses on processing and cleaning the Children Stories Text Corpus from Kaggle. This includes ensuring that the dataset is ready for analysis, handling any missing data, and ensuring that it aligns with the structure of the historical dataset for comparison.
Data Analysis Lead (Gloria L.): Leads the comparative analysis between the historical and contemporary datasets. This includes conducting a text-based analysis of themes, moral lessons, and cultural representations, identifying trends, and applying data visualization methods.
Literature Review & Contextualization Lead (Lucas W.): Responsible for conducting a literature review that connects our datasets to scholarly sources and class readings. This role also involves providing cultural and theoretical context for the findings, ensuring that the analysis ties back to our research question.
Report Writer/Editor (Yunchae (Sophia) C.): Compiles the findings and ensures that the final report is well-written, cohesive, and ready for submission. This includes integrating feedback from the team and handling any additional documentation, citations, and formatting.
Each member will work collaboratively to support one another's tasks, ensuring that tasks dependent on each other (e.g., data processing and analysis) are completed in a timely manner.
Division of Labor To ensure smooth progress, we will assign roles based on group members' strengths and interests, rotating the Project Manager role to maintain balance. Here is the proposed division of labor:
Project Manager (Rotating): Oversees project progress, sets deadlines, and coordinates meetings. Ensures task completion and handles any issues that arise during each phase.
Historical Data Specialist (Francis A.): Responsible for exploring, collecting, and processing the Historical Children's Literature Collection. This includes identifying relevant texts and extracting useful data from scanned images and descriptions. Member 1 will also work on understanding historical context and adding it to the analysis.
Contemporary Data Specialist (Cindy L.): Focuses on processing and cleaning the Children Stories Text Corpus from Kaggle. This includes ensuring that the dataset is ready for analysis, handling any missing data, and ensuring that it aligns with the structure of the historical dataset for comparison.
Data Analysis Lead (Gloria L.): Leads the comparative analysis between the historical and contemporary datasets. This includes conducting a text-based analysis of themes, moral lessons, and cultural representations, identifying trends, and applying data visualization methods.
Literature Review & Contextualization Lead (Lucas W.): Responsible for conducting a literature review that connects our datasets to scholarly sources and class readings. This role also involves providing cultural and theoretical context for the findings, ensuring that the analysis ties back to our research question.
Report Writer/Editor (Yunchae (Sophia) C.): Compiles the findings and ensures that the final report is well-written, cohesive, and ready for submission. This includes integrating feedback from the team and handling any additional documentation, citations, and formatting.
Each member will work collaboratively to support one another's tasks, ensuring that tasks dependent on each other (e.g., data processing and analysis) are completed in a timely manner.