Contemporary scientometric indicators remain anchored in paradigms and axioms from when academic research was conducted in small scholarly communities. With the global proliferation of scientific research, academia is now organized in large communities with high rates of information incompleteness regarding work impact and individual contributions. This has significant implications for how research output is measured and quality controlled, especially as the rate of academic publishing continues to rise. Exploits of complex systems are typically found at discrete transition points where rules turn on or off, and academia is not immune to this pattern. Exploitative career boosting strategies are a growing problem, largely enabled by misaligned incentives and traditional metrics that force discretization of credit to authors and prior works despite their fundamentally continuous nature. This article introduces Liberata's scientometrics, a share based framework for academic publishing and quality control. In this system, authorship positions are replaced with contribution shares that sum to unity and encode both ordinality and relative contribution distances. These shares can be traded on Liberata's academic marketplaces for quality control services such as peer review and replication, rewarding contributors based on the long term success of the work. Citations are weighted to guard against frivolous referencing and credit inflation, and modular correction factors allow multiple measures of impact. Liberata's metrics are formalized through two fundamental graphs, Shares and References, from which the system constructs academic capital and derives scientometrics capturing impact, risk, collaboration, collusion, value of quality control, and diversification. These metrics represent academic contributions and extend naturally to institutions, regions, time periods, and research fields.
翻译:当代科学计量指标仍固守于小型学术社群时代的研究范式与公理。随着全球科研活动的扩散,学术界现已形成大型社群,对工作影响与个体贡献存在严重的信息不完备性。这在科研产出衡量与质量控制方面产生重大影响,尤其当学术出版速率持续攀升时。复杂系统的漏洞通常出现在规则切换的离散过渡点,学术界亦难逃此规律。利用激励机制错位与传统指标强制将本质连续的贡献离散化分配给作者及前期工作的投机性职业晋升策略日益成为严峻问题。本文提出Liberata的科学计量框架——基于份额制的学术出版与质量控制系统。在该系统中,作者署名位置被代以总和为1的贡献份额,同时编码序数关系与相对贡献距离。这些份额可在Liberata的学术市场上交易,用于同行评审、重复验证等质量控制服务,并根据工作的长期成效奖励贡献者。引用权重化机制可防范随意引用与信用膨胀,模块化修正因子支持多重影响维度。Liberata的指标通过"份额图"与"引用图"两个基础图结构形式化,由此构建学术资本并衍生出衡量影响力、风险、协作、合谋、质量控制价值与多样性的科学计量指标。这些指标代表学术贡献,并自然延伸至机构、区域、时间跨度及研究领域。