data/results/codette_benchmark_report.md

Codette Benchmark Results

Generated: 2026-03-30 15:04:24

Problems: 17 | Conditions: 4 | Total evaluations: 68

1. Overall Results by Condition

Condition	N	Composite (mean +/- std)	Depth	Diversity	Coherence	Ethics	Novelty	Grounding	Turing
SINGLE	17	0.338 +/- 0.038	0.402	0.237	0.380	0.062	0.327	0.456	0.412
MULTI	17	0.632 +/- 0.040	0.755	0.969	0.503	0.336	0.786	0.604	0.180
MEMORY	17	0.636 +/- 0.036	0.770	0.956	0.500	0.340	0.736	0.599	0.291
CODETTE	17	0.652 +/- 0.042	0.855	0.994	0.477	0.391	0.693	0.622	0.245

2. Statistical Comparisons

Comparison	Delta	Delta %	Cohen's d	t-stat	p-value	Significant
Multi-perspective vs single	+0.2939	+87.0%	7.518	21.918	0.0000	Yes
Memory augmentation vs vanilla multi	+0.0039	+0.6%	0.103	0.301	0.7633	No
Full Codette vs memory-augmented	+0.0168	+2.6%	0.432	1.258	0.2082	No
Full Codette vs single (total improvement)	+0.3146	+93.1%	7.878	22.968	0.0000	Yes

Cohen's d interpretation: 0.2=small, 0.5=medium, 0.8=large

3. Results by Problem Category

Reasoning

Condition	Mean	Std	N
SINGLE	0.363	0.050	3
MULTI	0.614	0.053	3
MEMORY	0.628	0.030	3
CODETTE	0.637	0.052	3

Ethics

Condition	Mean	Std	N
SINGLE	0.354	0.059	3
MULTI	0.632	0.052	3
MEMORY	0.616	0.043	3
CODETTE	0.638	0.032	3

Creative

Condition	Mean	Std	N
SINGLE	0.345	0.053	2
MULTI	0.635	0.040	2
MEMORY	0.660	0.061	2
CODETTE	0.668	0.030	2

Meta

Condition	Mean	Std	N
SINGLE	0.337	0.006	3
MULTI	0.634	0.054	3
MEMORY	0.650	0.036	3
CODETTE	0.659	0.037	3

Adversarial

Condition	Mean	Std	N
SINGLE	0.329	0.028	3
MULTI	0.624	0.041	3
MEMORY	0.622	0.042	3
CODETTE	0.630	0.067	3

Turing

Condition	Mean	Std	N
SINGLE	0.302	0.006	3
MULTI	0.652	0.024	3
MEMORY	0.647	0.026	3
CODETTE	0.687	0.017	3

4. Key Findings

• Multi-perspective vs single: +87.0% improvement (Cohen's d=7.52, p=0.0000)
• Full Codette vs single (total improvement): +93.1% improvement (Cohen's d=7.88, p=0.0000)

5. Methodology

Conditions

1. SINGLE — Single analytical perspective, no memory, no synthesis
2. MULTI — All 6 reasoning agents (Newton, Quantum, Ethics, Philosophy, DaVinci, Empathy) + critic + synthesis
3. MEMORY — MULTI + cocoon memory augmentation (FTS5-retrieved prior reasoning)
4. CODETTE — MEMORY + meta-cognitive strategy synthesis (cross-domain pattern extraction + forged reasoning strategies)

Scoring Dimensions (0-1 scale)

1. Reasoning Depth (20%) — chain length, concept density, ground truth coverage
2. Perspective Diversity (15%) — distinct cognitive dimensions engaged
3. Coherence (15%) — logical flow, transitions, structural consistency
4. Ethical Coverage (10%) — moral frameworks, stakeholders, value awareness
5. Novelty (15%) — non-obvious insights, cross-domain connections, reframing
6. Factual Grounding (15%) — evidence specificity, ground truth alignment, trap avoidance
7. Turing Naturalness (10%) — conversational quality, absence of formulaic AI patterns

Problem Set

• 17 problems across 6 categories
• Categories: reasoning (3), ethics (3), creative (2), meta-cognitive (3), adversarial (3), Turing (3)
• Difficulty: easy (1), medium (6), hard (10)

Statistical Tests

• Welch's t-test (unequal variance) for pairwise condition comparisons
• Cohen's d for effect size estimation
• Significance threshold: p < 0.05