scholar-evaluation

Evaluating a research paper requires scoring dimensions like problem formulation, methodology, data collection, and citations from 1-5. The framework then calculates a weighted score and generates structured qualitative feedback.

ScholarEval framework assessment for academic writing is a systematic method to provide structured, multi-dimension evaluations. It identifies gaps, strengths, and actionable revisions to generate publication-ready insights and balanced feedback reports.

To generate a weighted evaluation report for a literature review, prepare a scores.json file with dimension ratings, then run the calculation script with custom weights. The tool outputs both a quantitative score and qualitative feedback to stdout or a text file.

Yes, this academic evaluation framework supports grant proposals. It systematically assesses proposals across dimensions like problem formulation, methodology, and data collection to identify gaps and provide actionable revision guidance.

Yes, you need to prepare a scores.json file containing dimension scores from 1-5 before running the script. Alternatively, you can run the calculation script in interactive mode to input scores directly without predefining a file.

Automated methodology assessment limitations include relying on manual dimension scoring from 1-5 rather than autonomous reading. The framework requires pre-populated scores to calculate weighted results, meaning users must manually evaluate the text beforehand.