More on plurality and authorship in science: A reply to Tang

Understanding the “political economy” of the research environment is at the core of getting clear on the ethical aspects of authorship. Questions about who should be an author on a scientific paper are complicated by the fact that authorship is used to determine credit inside science and by outside institutions whose interests and standards often differ dramatically. Much of the research ethics community seeks to impose an elite ethical consensus on scientific fields. I argue that this approach undermines the scientific autonomy of research communities. In contrast, we should develop bottom-up strategies that empower local communities and associations.     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.     

近十年来我国旅游危机研究的回顾和反思简

2003年以来一系列外部突发事件对旅游业的影响和冲击，进一步印证了旅游业具有高敏感性和易波动性的特点，学术界愈加关注旅游危机领域的理论研究和实证分析。根据中国期刊全文数据库相关文献检索，本文回顾近十年来旅游危机研究的进展和成果，探讨当前研究现状及存在不足，为今后进一步拓展和深化该领域研究提供指导和借鉴。     

A call for action that cannot go to voicemail: Research activism to urgently improve Indigenous perinatal health and wellbeing

In this call to action, a coalition of Indigenous and non-Indigenous researchers from Australia, Aotearoa New Zealand, United States and Canada argue for the urgent need for adequately funded Indigenous-led solutions to perinatal health inequities for Indigenous families in well-resourced settler-colonial countries. Authors describe examples of successful community-driven programs making a difference and call on all peoples to support and resource Indigenous-led perinatal health services by providing practical actions for individuals and different groups.     

COWORDS: a probabilistic model for multiple word clouds

Word clouds constitute one of the most popular statistical tools for the visual analysis of text documents because they provide users with a quick and intuitive understanding of the content. Despite their popularity for visualizing single documents, word clouds are not appropriate to compare different text documents. Independently generating word clouds for each document leads to configurations where the same word is typically located in widely different positions. This makes it very difficult to compare two or more word clouds. This paper introduces COWORDS, a new stochastic algorithm to create multiple word clouds, including one for each document. The shared words in multiple documents are placed in the same position in all clouds. Similar documents produce similar and compact clouds, making it easier to simultaneously compare and interpret several word clouds. The algorithm is based on a probability distribution in which the most probable configurations are those with a desirable visual aspect, such as a low value for the total distance between the words in all clouds. The algorithm output is a set of word clouds that are randomly selected from this probability distribution. The selection procedure uses a Markov chain Monte Carlo simulation method. We present several examples that illustrate the performance and visual results that can be obtained by our algorithm.     

21世纪中国学界辽金经济史研究回顾与展望

辽金经济史一直是学者研究的重点,21世纪以来学界在辽金农业概况、发展原因、土地制度,畜牧业结构,货币种类、税收制度及贸易几个方面研究深入,取得了丰硕的成果。但对区域农业特点、土地买卖及粮食供给、辽金农业思想史等问题缺乏深入研究。     

试论辽代节日朝贺制度的建构

辽朝享国二百余年,《辽史·百官志》载其属国达七十八个,在如此庞大的帝国势力范围内能够稳固其统治,不仅是因为契丹拥有强悍的军事力量,更重要的是辽朝建构了有效控御四方的节日朝贺体系。辽代境内、境外、绝域之国等朝贺体系的架构,体现了辽代朝贺制度的蕃汉结合、重威辅恩、礼仪不完备等特点。为了更好地运行朝贺制度,辽代还设立了敌烈麻都司、宣徽院、驿馆、四方馆、地方府州等专门负责机构。节日朝贺制度作为朝贡制度的重要组成部分,渐趋凸显其在辽朝处理内外关系的作用,并逐渐形成了以辽为中心的东亚朝贡体系。     

中国人口学科国际化水平及其影响因素

国际化是学科成熟与发展的一个重要指标。但是作为世界人口第一大国,中国人口学科的国际化并没有发展到一个相对应的水平。在界定了学科国际化概念的基础上,借助问卷调查数据来分析中国人口学科国际化的现状,探讨中国人口科学继续与国际学界融合所面临的困难及其主要原因。结果表明,中国人口学的国际化明显处于不断萎缩的态势,其直接动因和深层次缘由分别是整个人口学界的国际化意识与能力的减弱,以及人口学科文化与制度本身存在的缺陷。加强国际化的学科文化建设与建立相配套的学科制度是提高中国人口学科国际化水平的重要途径。     

Psychometric properties of the Transitions from Foster Care Key Leader Survey

This study summarizes the development and piloting of the Transitions from Foster Care Key Leader Survey (TFC-KLS), an instrument designed to measure change in systems serving young people transitioning from foster care to adulthood. The Jim Casey Youth Opportunity Initiative’s logic model was used as a basis for instrument development. The instrument was piloted with 119 key leaders in six communities. Seven of eight latent scales performed well in psychometric testing. The relationships among the 24 measures of system change were explored. A CFA testing overall model fit was satisfactory following slight modifications. Finally, a test of inter-rater reliability between two raters did not find reliable reporting of service availability in a supplemental portion of the survey. The findings were generally positive and supported the validity and utility of the instrument for measuring system change, following some adaptations. Implications for the field are discussed.     

Shared service center research: A review of the past,present, and future

More than 75% of Fortune 500 companies have established models of shared services with the aim of gaining superior performance by cost savings and service enhancements. Despite scholars' complaints about scant shared service center (SSC) research, this study shows that the actual shortcoming in this stream concerns a high fragmentation of the academic literature (e.g., we found 137 works in the initial search and 83 works in a refined screen). In this first comprehensive literature review, we synthesize peer-reviewed articles and classify them into 4 perspectives according to their research questions (i.e., determinant, process, control, and outcome). We identify 17 major research areas across these perspectives. Additionally, we provide information on methodologies and theories. On the basis of the literature synthesis, we discuss opportunities and gaps and propose an agenda for future research. Specifically, we suggest 3 potential research directions (i.e., direct relationships, mediating, and outcome effects) regarding SSCs during their operational maturity phase.