小学儿童奖赏公平性的认知发展

采用信息加工研究途径并假设故事情境探索小学儿童对奖赏公平性的社会认知发展,并将儿童的发展与成人作对比。研究结果表明,７,９岁儿童容易将＂均等＂与＂公平＂混淆,还没形成一个稳定的分配模式,而１２岁儿童已能运用＂努力＂、＂成果＂、＂能力＂等规则较为稳定地作出公平奖赏决定或评价,但还没达到对更高层次的社会准则的理解和掌握。儿童这一发展制约于他们的信息加工能力以及获得有关社会价值观的社会化过程。     

A technique for controlling speech disfluencies induced by delayed auditory feedback

On the basis of cybernetic models of speech it was hypothesized that “stuttering” induced by delayed auditory feedback could be significantly reduced if the Ss were provided with an alternate input to which they could attend. The results of the experiment supported the hypothesis. The possible implications for the treatment stuttering are discussed.     

“Doing justice” in psychological methodology: From science and experiments to anecdotes

Methodology is intrinsically related to “object” and its quality is based on the degree to which a method is doing justice to the object, demonstrating the entanglement of ontic, epistemic, and ethical considerations. The intent of “doing justice” is at the core of methodology and is the de facto guiding principle for conducting research and for producing knowledge. Objects in psychology can range from subjectivity to science and conflicts emerge because of giving primacy to particular objects. Using this perspective, various meanings of doing justice, critics’ challenges, deviations from doing justice to an object, ethical-political dimensions and the dialectics of doing justice in relation to objects are discussed. If doing justice is at the core of methodology, then the issue becomes under what circumstances a particular method is doing justice in relation to a particular object. Contrasting the experiment with anecdotes, it is shown dialectically that the former has no privileged status in psychology, and that experiments that are not replicated only do justice as anecdotal evidence.     

Cognitive Evaluation of Machine Learning Agents

Advances in applying statistical Machine Learning (ML) led to several claims of human-level or near-human performance in tasks such as image classification & speech recognition. Such claims are unscientific primarily for two reasons, (1) They incorrectly enforce the notion that task-specific performance can be treated as manifestation of General Intelligence and (2) They are not verifiable as currently there is no set benchmark for measuring human-like cognition in a machine learning agent. Moreover, ML agent’s performance is influenced by knowledge ingested in it by its human designers. Therefore, agent’s performance may not necessarily reflect its true cognition. In this paper, we propose a framework that draws parallels from human cognition to measure machine’s cognition. Human cognitive learning is quite well studied in developmental psychology with frameworks and metrics in place to measure actual learning. To either believe or refute the claims of human-level performance of machine learning agent, we need scientific methodology to measure its cognition. Our framework formalizes incremental implementation of human-like cognitive processes in ML agents with an implicit goal to measure it. The framework offers guiding principles for measuring, (1) Task-specific machine cognition and (2) General machine cognition that spans across tasks. The framework also provides guidelines for building domain-specific task taxonomies to cognitively profile tasks. We demonstrate application of the framework with a case study where two ML agents that perform Vision and NLP tasks are cognitively evaluated.     

The Liberating Awareness

The purpose of this article is to reflect on the search for racial justice as a call from God, using biblical readings and documents produced by the World Council of Churches (WCC). It is anchored in the increasingly intense challenges that emerge in this respect in Brazil, a country whose Indigenous peoples were annihilated in its colonization process, and which up until the 19th century received the largest flow of enslaved Africans in the world. The article combines the Latin American methodology “See, Judge, Act” with the theological methodology of the WCC's Pilgrimage of Justice and Peace and its three steps: “Celebrating Gifts,” “Visiting the Wounds,” and “Transforming Injustice.” The first part of the paper reflects the “See” and exposes the expressions of everyday racism in Brazil. The second part presents the “Judge,” seeking references to the challenge of racial justice in the Bible and in ecumenical reflection. The third and final section, “Act,” reflects on the possibility for transforming racial injustices, sharing experiences from Brazil as well as one of the Pilgrim Team Visits organized by the WCC in 2019.     

卫生资源优化配置的伦理要求

卫生资源是稀缺资源,卫生资源只有优化配置,才能达到我们的医学目的。卫生资源的优化配置的以公平为优先,坚持公平和效率相结合的原则。就目前所存在的和我们的医学目的不相适应的卫生资源配置方式的现状和主要问题进行分析,并提出了相应的改进方法。     

Practical Implementation Science: Developing and Piloting the Quality Implementation Tool

According to the Interactive Systems Framework for Dissemination and Implementation, implementation is a major mechanism and concern in bridging research and practice. The growing number of implementation frameworks need to be synthesized and translated so that the science and practice of quality implementation can be furthered. In this article, we: (1) use the synthesis of frameworks developed by Meyers et al. (Am J Commun Psychol, 2012) and translate the results into a practical implementation science tool to use for improving quality of implementation (i.e., the Quality Implementation Tool; QIT), and (2) present some of the benefits and limitations of the tool by describing how the QIT was implemented in two different pilot projects. We discuss how the QIT can be used to guide collaborative planning, monitoring, and evaluation of how an innovation is implemented.