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Contingent Public Goods — When Collective Provision Depends on Algorithmic Thresholds
条件型公共品——当集体供给取决于算法阈值
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Ride-share surge pricing transforms transportation from a de facto public good into a contingent one—available only when demand falls below algorithmically defined congestion thresholds.网约车动态加价机制，将交通这一事实上的公共品，转变为仅当需求低于算法定义的拥堵阈值时才可获得的临时性服务。
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Municipal broadband networks now activate fiber rollout only after predictive models estimate sufficient subscriber density—delaying universal access in low-density zones.市政宽带网络如今仅在预测模型估算出足够用户密度后，才启动光纤铺设，导致低密度区域普遍接入被推迟。
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Open-source software libraries qualify as public goods, yet their maintenance relies on GitHub’s star-based funding thresholds that privilege visibility over systemic necessity.开源软件库本属公共品，但其维护却依赖GitHub基于星标数的资助门槛，优先考虑可见度而非系统性必要性。
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Climate adaptation funds increasingly disburse only upon AI-verified satellite evidence of drought severity—excluding communities lacking baseline geospatial infrastructure.气候适应资金 increasingly 仅在AI验证的卫星数据确认干旱严重程度后才拨付，缺乏基础地理空间基础设施的社区因而被排除在外。
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This contingency shifts public provision from rights-based entitlement to performance-triggered allocation—redefining citizenship as algorithmic eligibility.这种条件性转变，使公共服务从基于权利的应得待遇，变为依绩效触发的分配机制——将公民身份重新定义为算法判定的资格。
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Healthcare triage algorithms in publicly funded systems prioritize interventions based on predicted QALY gains, making life-extending care conditional on probabilistic modeling accuracy.公立医疗系统的分诊算法依据预测的健康调整生命年（QALY）收益来优先安排干预措施，使延长生命的治疗取决于概率建模的准确性。
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The danger isn’t bias alone—it’s structural exclusion: thresholds optimized for statistical efficiency systematically undercount marginalized populations’ needs.危险不仅在于偏见本身，更在于结构性排斥：为统计效率优化的阈值，系统性地低估边缘群体的真实需求。
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Fiscal federalism exacerbates this: intergovernmental transfers now hinge on real-time dashboard metrics rather than historical need assessments.财政联邦制加剧了这一问题：政府间转移支付如今取决于实时仪表盘指标，而非历史需求评估。
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Scholars warn of 'threshold traps'—where communities invest in data collection solely to meet algorithmic triggers, diverting resources from actual service delivery.学者警示‘阈值陷阱’——社区为满足算法触发条件而专门投入数据采集，反而挤占实际服务供给资源。
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Democratic accountability fractures when thresholds operate as black-box filters—insulating decisions from political contestation while amplifying technical discretion.当阈值作为黑箱过滤器运行时，民主问责即告瓦解——决策由此脱离政治博弈，技术裁量权却被放大。
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Emerging 'algorithmic charter' proposals mandate public threshold audits—requiring justification not just of formulas, but of their distributive implications.新兴的‘算法宪章’提案要求对公共阈值开展公开审计，不仅需说明公式设计，更须阐明其分配影响。
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Public goods endure not through abundance—but through the deliberate refusal to make their provision conditional on computational validation.公共品得以存续，并非依靠丰裕，而在于坚决拒绝以计算验证作为其供给的前提。