Closed stevenli-uoft closed 2 weeks ago
Thank you for your detailed feedback on my paper. I have made modifications to both the introduction and the data cleaning section to address some of your concerns. However, due to time constraints, I was unable to incorporate the additional suggestions regarding the discussion section, specific policy recommendations, and the expanded context on existing homeless reduction strategies.
I appreciate your suggestions for enhancing transparency in the data cleaning process and including error bars in the visualizations. I will keep these in mind for future revisions. Thank you again for your constructive insights!
Opening statement summary
This paper examines demographic shifts in Toronto's homeless population from 2018 to 2024, analyzing trends in chronic homelessness, age distribution, and refugee status. The author argues that these changes necessitate a reevaluation of current housing-centric solutions.
Strong positive points
The paper effectively uses data visualization to illustrate key demographic trends in homelessness.
Critical improvements needed
Suggestions for improvement:
Please consider adding/changing/removing:
Estimated mark:
50/65
Reason:
The paper demonstrates a good understanding of the data and presents clear visualizations. However, there is room for improvement in the depth of analysis and policy recommendations. The structure is generally sound, but some sections could be more focused and detailed.
Scores for each component in the rubric:
R is appropriately cited: 1/1 LLM usage is documented: 1/1 Title: 2/2 Author, date, and repo: 2/2 Abstract: 3/4 Introduction: 3/4 Data: 8/10 Measurement: 3/4 Prose: 4/6 Cross-references: 1/1 Captions: 2/2 Graphs/tables/etc: 3/4 Referencing: 4/4 Commits: 2/2 Sketches: 2/2 Simulation: 3/4 Tests: 2/4 Reproducibility: 2/4 Code style: 1/1 General excellence: 1/3