1,720,960 research outputs found
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
Recommended from our members
Statistical Precedent: Allocating Judicial Attention
Suffering from a well-covered “crisis of volume,” the United States Courts of Appeals have patched together an ad hoc system of triage in an effort to provide cases with sufficient attention. For example, only some cases are assigned to central staff, analyzed by law clerks, orally argued, debated over by judges, or decided in published opinions. The courts have evaded overt disaster by increasing the number of active, senior, and visiting judges, but the additional personnel poses its own demands on attention—judges must also pay attention to one another in order to coherently develop and apply the law. With too little time and too many voices, they have increasingly abandoned the effort to coordinate that uniform approach to judging: the courts now create traditional precedent in less than 10% of cases, some larger courts have stopped the practice of circulating opinion drafts to the full court, and en banc proceedings are initiated at a miniscule rate.
This Article explains and illustrates how courts can leverage advances in artificial intelligence to more fairly and effectively allocate attention. A machine-generated mapping of a court’s historical decision patterns—what I term “statistical precedent”—can help a circuit court locate the district court, agency, staff attorney, law clerk, and panel decisions that are most incompatible with the court’s collective jurisprudence. Statistical precedent can also aid the court in identifying areas of law that are most in need of development. With the ability to locate likely errors and opportunities for law development, the circuit courts could distribute attention so as to revitalize their contribution to the rule of law
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
Statistical Precedent: Allocating Judicial Attention
The U.S. Courts of Appeals were once admired for their wealth of judicial attention and for their generosity in distributing it. At least by legend, almost all cases were afforded what William Richman and William Reynolds have termed the “Learned Hand Treatment.” Guided by Judge Learned Hand’s commandment that “[t]hou shalt not ration justice,” a panel of three judges would read the briefs, hear oral argument, deliberate at length, and prepare multiple drafts of an opinion. Once finished, the judges would publish their opinion, binding themselves and their colleagues in accordance with the common-law tradition. The final opinion would be circulated to and read by every judge in the circuit, providing nonpanel judges with an opportunity to provide feedback or evaluate a decision for en banc review. And on top of this extensive attention was a reasonable chance for yet more, as the Supreme Court reviewed approximately 3% of the circuit courts’ decisions. But darker days were ahead. A caseload explosion greatly diminished the courts’ reservoir of judicial attention. Between 1960 and 2010, the courts’ caseload increased by 1,436%. The courts responded to this precipitous rise in workload with a series of moves to reduce the time and effort that judges spent on each case. They employed an army of staff attorneys to help decide cases and draft opinions, increased the number of law clerks from one to three or four per judge, and curtailed the availability of oral argument such that in 2017, it was provided in less than 20% of cases...
The shortage of attention threatens to undermine the courts’ ability to decide cases correctly and develop the law coherently. Without the time to carefully consider each case, circuit court judges— traditionally serving as the main source of error correction in the federal courts—will inevitably make more errors of their own
Recommended from our members
Machine Learning and the Reliability of Adjudication
Machine learning can be used to help guide and regulate adjudicator decisions, increasing the reliability and overall quality of decision making. The first chapter provides an analytic and normative overview of what I refer to as ``statistical precedent." It explains how statistical models of previous decisions can help assess and improve the reliability of an adjudication system. The subsequent chapters elaborate on and empirically illustrate two of the techniques introduced in the first chapter. Chapter two, using an original dataset of Ninth Circuit Court of Appeals decisions, presents a method for estimating the amount of inter-judge disagreement. Chapter three, using an original dataset of California parole hearings, demonstrates the potential of synthetically crowdsourced decision making
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
- …
