Corruption and Representations of Scholarly Output

Robert Liebler

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Corruption and Representations of Scholarly Output

机译：学术成果的腐败与表征

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In this paper I analyze representations of scholarly output for the purpose of identifying corrupt practices. Accordingly, the components of output-price, quantity, and time-are examined. A key part of the analysis is recognizing the unique role that the scholarly community plays in scholarship and the implications this has for the roles of groups other than the scholarly community. Finally, a survey of students indicates that particular representations of scholarly output are viewed by students as unethical.

机译：在本文中，我分析了学术成果的表现形式，以识别腐败行为。因此，检查了产出价格，数量和时间的组成部分。该分析的关键部分是认识到学术团体在学术中所扮演的独特角色，以及这对学术团体以外的其他团体的作用所产生的影响。最后，对学生的一项调查表明，学生认为学术产出的特定表现是不道德的。

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《Journal of Academic Ethics》 |2008年第3期|259-269|共11页
作者
Robert Liebler;
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作者单位

State College, P.O. Box 1115, PA 16804, USA;

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原文格式 PDF
正文语种 eng
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关键词
scholarship; corruption;

机译：奖学金;腐败;

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1. An Interactive Metadata Model for Structural, Descriptive, and Referential Representation of Scholarly Output [J] . Xiaozhong Liu, Jian Qin Journal of the American Society for Information Science and Technology . 2014,第5期

机译：用于学术成果的结构，描述和参照表示的交互式元数据模型
2. Response to "Ideational Influence, Connectedness, and Venue Representation: Making an Assessment of Scholarly Capital" [J] . Crowston Kevin Journal of the Association for Information Systems . 2016,第1期

机译：回应“思想影响力，联系性和场馆代表：对学术资本的评估”
3. Ideational Influence, Connectedness, and Venue Representation: Making an Assessment of Scholarly Capital [J] . Cuellar Michael J., Takeda Hirotoshi, Vidgen Richard, Journal of the Association for Information Systems . 2016,第1期

机译：概念影响力，联系性和场馆代表：对学术资本的评估
4. Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar's Publications [C] . Yu Liu, Dan Lin, Jing Li, International conference on advanced data mining and applications . 2016

机译：学术产出图：文章水平的图形指标，表明学者出版物的影响
5. Visualization of Large Diverse Collections of Scholarly Output [D] . Kale, Bharat K. 2018

机译：大型学术输出的可视化
6. COVID-19 Pandemic Related Research in Africa: Bibliometric Analysis of Scholarly Output Collaborations and Scientific Leadership [O] . Maxime Descartes Mbogning Fonkou, Nicola Luigi Bragazzi, Emmanuel Kagning Tsinda, 2021

机译：Covid -19非洲大流行相关研究：学术产出合作和科学领导的宾夕法尼亚州分析
7. Figure 6: (A) Tree resulted the standard MP analysis of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) constructed using the modified summary of Lehtonen et al. (2011) (see “Materials and Methods” for the details) and a posteriori rooted relatively Papio (length = 12,092, CI = 0.7877, RI = 0.5597); 34,022 characters are constant, and the number of the parsimony-informative characters is equal to 4,311. MP BS values are provided below branches. The only characters with non-ambiguous value of the outgroup (Papio) have been saved within concatenated alignment; (B) the average consensus tree of the score 0.00084 resulted the analysis of the Hennigian forest of the 5,507 trees derived from the binary representation of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) (see “Materials and Methods” for the details); Papio is assumed to be the best all-plesiomorphic group. “Additional…” FORESTER’s output tree file (see “Materials and Methods” for the details) selected for future analyses; (C) the average consensus tree of the score 0.00090 resulted the analysis of the Hennigian forest of the 5,339 trees derived from the modified binary representation of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) (see 6.I. and “Materials and Methods” for the details), but with all 168 trees, which contain the clade (Homo plus Pan) have been removed from the input forest. “Additional…” FORESTER’s output tree file (see “Materials and Methods”) selected for future analyses. [O] . -1

机译：图6：（A）树导致的标准MP分析的98-基因座的类人猿（人科，灵长类动物，哺乳动物），使用莱赫托宁等人的修改的摘要构成的超级矩阵。（2011）（参见细节“材料和方法”）以及相对植根狒狒后验概率（长度= 12092，CI = 0.7877，RI = 0.5597）; 34022个字符是恒定的，并且简约信息的字符数等于4311。下面提供分支MP BS值。与外类群（狒狒）的非模糊值的唯一的字符已被保存的级联对准内; （B）的得分0.00084的平均一致树导致从巨猿（原始人类，灵长类动物，哺乳动物）的98座超级矩阵的二进制表示获得的5507棵的Hennigian森林的分析（见“材料和方法”为细节）;狒狒被认为是最好的全祖征群。 “其他...” FORESTER的输出树文件（请参阅详细信息“材料和方法”），用于进一步的分析; （C）的分数0.00090的平均一致树导致从98个位点的类人猿（人科，灵长类动物，哺乳动物）的超级矩阵（见6.I的改性二进制表示导出的5339种树木的Hennigian森林的分析以及“材料和方法”的详细说明），但所有168棵，其中包含的分支（智人加PAN）已经从输入林中删除。 “其他...” FORESTER的输出树文件（参见“材料和方法”），用于进一步的分析。

Corruption and Representations of Scholarly Output

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