scholar-evaluation

A scholarly evaluation framework assesses research papers across core dimensions including problem formulation, methodology, analysis, and citations. It generates structured scoring with qualitative observations and quantitative scores to provide rigorous, objective feedback for improvement.

To generate an assessment report for academic writing, prepare a dimension scores JSON file and run the calculate_scores.py script. This workflow produces a detailed, evidence-based evaluation report containing qualitative observations and quantitative scores across multiple quality dimensions.

Yes, you can use this framework to evaluate literature reviews and methodologies. It applies systematically to research papers and scholarly writing across multiple quality dimensions, providing consistent evaluation and actionable feedback regardless of the specific academic document type.

The framework scores scholarly work across eight core dimensions: Problem Formulation, Literature Review, Methodology, Data Collection, Analysis, Results, Writing, and Citations. This comprehensive assessment ensures all aspects of academic research are rigorously evaluated using quantitative and qualitative criteria.

The best way to get actionable feedback is using a systematic evaluation framework that produces a prioritized improvement plan. By applying structured scoring across core dimensions, it identifies specific areas for revision and generates evidence-based recommendations to enhance your research paper.