sophiabrothers1 / 2023mayoralelection

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Peer review: Progress and Required Updates for 2023 Toronto Mayoral Election Analysis #3

Open JessLiang02 opened 2 months ago

JessLiang02 commented 2 months ago

Opening statement summary:

This paper investigates the 2023 Toronto Mayoral Election by analyzing survey data from OpenDataToronto. It seems you've made considerable progress with certain sections, but other critical parts are still incomplete, leaving the work feeling half-finished.

Strong positive points:

You've made meaningful updates to the introduction, data section, and appendix, making it clearer what you're aiming to achieve in your paper. The inclusion of updated scripts, data, and LLM parts shows you're off to a solid start.

Critical improvements needed:

While you've made a solid foundation, there are still significant areas that need attention. For instance, your abstract is missing, which is crucial for setting up the context of your research. Additionally, sections like your paper.qmd, README, and other parts not directly mentioned above could benefit from being updated soon to provide a more cohesive and polished final paper. Without a complete set of updates, the manuscript remains unfinished.

Suggestions for improvement:

It would be helpful to see your datasheet, literature, LLM parts, sketches, and README updated. If you decide to reuse materials like literature and sketches, incorporating them back into the paper could strengthen the overall depth and comprehensiveness of your work. Furthermore, consider adding a discussion section to organize and elaborate on your findings. A clear title, which briefly but explicitly conveys the focus of your paper, is another essential aspect missing at the moment.

Evaluation:

Your paper demonstrates a good level of effort, but its overall coherence is held back by missing elements such as an abstract, title, and a complete discussion section. Once you address these issues and make the necessary updates, the quality of the work will improve significantly.

Estimated mark: 50/100

At present, the paper feels unfinished. However, with some focused improvements and attention to the missing components, it has the potential to reach a higher level.

JessLiang02 commented 2 months ago

Updated evaluation and estimated mark: Evaluation: Title: 2/2 Author, Date, and Repo: 1/2 Abstract: 4/4 Introduction: 4/4 Data: 8/10 Measurement: 3/4 Prose: 6/6 Cross-References: 1/1 Captions: 2/2 Graphs/Tables: 2/4 Referencing: 2/4 Commits: 2/2 Sketches: 2/2 Simulation: 4/4 Tests: 3/4 Reproducibility: 3/4 Code Style: 1/1 General Excellence: 3/3 Estimated Score: 53/64