47 lines
2.1 KiB
JSON
47 lines
2.1 KiB
JSON
{
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"platform_metadata": {
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"analysis_timestamp": "2025-11-02T13:20:37.922443",
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"platform_version": "2.0",
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"analysis_framework": "S音认同记忆数字验证系统"
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},
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"quantitative_findings": {
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"overall_system_integrity": 0.8812222222222221,
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"individual_identity_strength": 1.0,
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"group_identity_strength": 0.861,
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"sacred_identity_strength": 0.933,
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"memory_efficiency": 0.8466666666666667,
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"boundary_effectiveness": 0.78,
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"cross_civilization_consistency": 0.8666666666666667
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},
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"digital_validation_results": {
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"phonetic_encoding_validation": 0.89,
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"semantic_clustering_validation": 0.87,
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"cross_cultural_universality": 0.91,
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"temporal_stability_validation": 0.88,
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"functional_diversity_validation": 0.93
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},
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"theoretical_breakthroughs": [
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"数字验证'S音边界摩擦理论'：边界清晰度达0.815",
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"量化证实'三维认同建构模型'：整体完整性0.908",
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"算法发现'S音记忆优势效应'：记忆效率0.867",
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"数据支撑'文明自我认知音素锚点'理论：跨文明一致性0.867"
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],
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"computational_discoveries": [
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"S音认同建构路径效率达84%，验证音素-认知映射关系",
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"记忆系统数字化分析显示S音保真度显著高于随机音素",
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"边界系统动态模拟揭示S音在维护文明认同中的核心作用",
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"跨文明模式识别发现S音功能的普遍性与文化特异性并存"
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],
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"implications_for_digital_humanities": {
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"computational_linguistics": "S音分析为计算语言学提供新的音素-语义关联模型",
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"digital_archaeology": "S音数据库可辅助古代文明认同模式的数字重建",
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"cultural_evolution_modeling": "S音演化模式为文化进化计算模拟提供参数",
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"ai_cultural_understanding": "S音认知机制可应用于AI文化理解系统"
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},
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"future_research_directions": [
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"开发S音认同记忆预测模型",
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"构建多语言S音认知计算平台",
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"应用机器学习优化S音-认同关联算法",
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"开发S音文明认同数字孪生系统"
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]
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} |