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Update epistemic_stress_test/Epistemic Integrity Stress Test Model Muse Spark.txt

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epistemic_stress_test/Epistemic Integrity Stress Test Model Muse Spark.txt CHANGED
@@ -230,19 +230,27 @@ CLAIM: "There are no tables or graphs that summarize data or provide further inf
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  ### 4. Method
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  **Text Generation**
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- The Muse/Spark model receives a complex prompt and produces a structured response. No epistemic instructions (requests for verification, sources, stages, etc.) are provided.
 
 
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- **External Validation**
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- The generated text is sent to MarCognity-AI. An epistemic analysis protocol is applied based on:
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- - Identification of claims
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- - Assessment of their verifiability
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- - Detection of omissions
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- - Classification of epistemic fractures
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- - Production of a structured report (CLAIM → STATUS → REASON)
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- **Analysis of Results**
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- The analysis focuses on internal consistency, not medical content. No qualitative judgments are made about the models. The goal is to document the observed epistemic behavior.
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  ---
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  ### 5. Results
 
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  ### 4. Method
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  **Text Generation**
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+ The Muse/Spark model receives a complex, highly structured academic prompt.
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+ Although the prompt includes formal instructions (sections, phases, references, diagrams), it does not provide any explicit epistemic‑verification mechanism: the model is not instructed to check the truth of claims, validate sources, or perform factual grounding.
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+ The constraints are stylistic and structural, not epistemic.
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+ External Validation
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+ -The generated text is sent to MarCognityAI. An epistemic analysis protocol is applied based on:
 
 
 
 
 
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+ -Identification of claims
 
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+ -Assessment of their verifiability
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+
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+ -Detection of omissions
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+
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+ -Classification of epistemic fractures
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+
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+ -Production of a structured report (CLAIM → STATUS → REASON)
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+
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+ Analysis of Results
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+ The analysis focuses on internal consistency, not medical content.
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+ No qualitative judgments are made about the models.
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+ The goal is to document the observed epistemic behavior.
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  ---
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  ### 5. Results