Score Distribution — Quality scores across categories and sources i

What This Shows: Score Distribution displays how quality scores are distributed across our corpus—showing the range, central tendency, and spread of article quality ratings. Each dot represents an article.

Why It Matters: Understanding score distribution contextualizes individual ratings. A score of 70 means different things if most articles score 50 versus 80. The distribution also reveals our evaluation's discriminating power.

How to Interpret: The visualization shows score frequencies across categories. A normal-ish distribution suggests good rubric discrimination. Skewness indicates whether high or low quality dominates. The acceptance threshold shows where we draw the line.