1,720,954 research outputs found
Replication Data for: Analyzing the Rhetoric of Supreme Court Confirmation Hearings
The below data and code replicates the main and appendix materials for "Analyzing the Rhetorical Behaviors of Supreme Court Confirmation Hearings." An important note for these materials: The author's preference for software packages and programming languages to complete different layers of the research design constitutes the incorporation of Microsoft Excel (data collection), STATA (data analysis), and Python (sentiment classification). All replication materials (including STATA do-files and .py files are included below). The author is happy to discuss any data limitations, as well as the procedure for classifying rhetoric using supervised machine learning processes like the one incorporated in this work (Naive Bayes).
Motivation(s): Analyses of Supreme Court confirmation hearings routinely contend with hostility and political overtones becoming ingrained in the process. Accounts from political scientists, normative observers, and participants in these hearings themselves, often point to distinctive moments in the recent history of these hearings as the source of these developments. Chief among them is the contention that the rejection of Robert Bork in 1987 instigated a decades-long collection of grievances that plagued every subsequent hearing. Some observers have continued to support this framing by asserting that even more recent events like the infamous Thomas and Kavanaugh hearings, as well as the Republican Senate's refusal to grant Merrick Garland a hearing, built-from and expand-upon the grievances emanating from Bork. However, more recent literature exploring the contextual substance of interactions between committee members and nominees have questioned these contentions in favor of viewing rhetorical behaviors as a reflection of party dynamics and the balance of interbranch political power.
Approach: I apply supervised machine learning using Naive Bayes to analyze the rhetorical behaviors of committee members during hearings spanning 1970 to 2020.
Findings: My results ultimately suggest two core empirical findings. First, I find little evidence to support the contention that certain key events, Bork or otherwise, significantly impacted rhetorical behaviors. Any layer of analysis, regardless of how many of these aforementioned events are included in the research design, fails to discern any definitive moment where these events might explain longitudinal variation. Second, while the notion that grievances emanating from key events is the primary culprit fails to provide intuitive answers, I do find support for a conjoined influence of strategic party goals and the balance of interbranch political power. That is, rhetorical behaviors are often the result a committee member's position as an in (i.e., sharing the president's political party) or out-party member, as well as whether the hearing exists in unified (i.e., the Senate majority shares the party of the appointing president) or divided government. I find that the behaviors of in-party members alters significantly when they are in the minority. Under these circumstances, they become increasingly more probable to incorporate negative rhetoric, likely as a reflection of the out-party's position as the Senate majority now bearing the weight of real obstructionist consequences. I conclude this work by noting how these conditions and behaviors can produce negative consequences for the Court's institutional support
The Supreme Spectacle: An Analysis of Public Attendance at the Supreme Court (Research Note)
Data for The Supreme Spectacle: An Analysis of Public Attendance at the Supreme Court (Research Note).
This public attendance data was collected by researchers at SCOTUSblog as part of their October Term 2019-2020 Courtroom Access Special Feature (scotusblog.com/category/special-features/courtroom-access-2020/). Before using this data or replicating the findings, please receive permission from Amy Howe at SCOTUSblog ([email protected])
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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