1,720,956 research outputs found
A Governor\u27s Duty to Ask
Full text linkAs some federal constitutional protections contract, state constitutions are becoming an increasingly important source of individual rights. But state constitutional development involves either amendment or litigation, processes both slow and costly. Ten states offer a third path: They empower governors to request advisory opinions from their supreme courts. These governors, however, have rarely exercised this power.
This article argues that a governor’s refusal to seek such advice violates the constitutional duty to faithfully execute the law; specifically, the law respecting the separation of powers. Drawing on an empirical analysis, I first show that governors are generally shy to ask for advice, a trend which has only intensified in recent years. I then conduct a survey of state executive power jurisprudence to show that each of the ten states imposes a gubernatorial duty to compel constitutional behavior from the executive branch.
That duty necessarily includes a responsibility to determine what the constitution requires. But the task of state constitutional interpretation falls firstly to the state supreme court, not the governor. Ultimately, I argue that respect for the separation of powers—particularly when read in light of the constitutional grant of the advisory power—requires governors to more actively use their power to ask for advice.
Recognizing this “duty to ask” not only respects the role of the state supreme court in defining the constitution, it also catalyzes the development of state constitutional law. By inviting courts to define state rights proactively, governors can help build a doctrinal foundation for future litigants and promote the public good
Adapting \u3ci\u3eGingles\u3c/i\u3e & Retaining Voter Power: Applying the VRA to State Judicial Retention Elections
Full text linkState supreme courts play a crucial yet overlooked role in our nation’s judiciary. They are also predominantly White. In states with judicial elections, this racial homogeneity suggests that voters of color may not have an equal opportunity to “elect representatives of their choice” as required by the Voting Rights Act (VRA). While federal courts frequently apply the VRA to judicial elections resembling legislative and executive contests, those same tribunals have failed to protect voters of color in non-competitive judicial retention elections. This failure is due in part to Thornburg v. Gingles, which established three threshold requirements for plaintiffs in vote dilution cases. These factors, which focus on a given plaintiff’s ability to craft a majority-minority district within the relevant multi-member elected body, do little to aid courts in judicial retention election cases because Gingles presumes the existence of geographic districts and a choice between candidates. Judicial retention elections possess neither of those qualities. Despite Gingles’ inapplicability, lower federal courts have often mechanically applied the Gingles factors in judicial retention cases, creating insurmountable hurdles for plaintiffs bringing claims. In contravention of basic legal principles, these decisions declare that there is a right, but no associated remedy. This Article advances a new reading of Gingles, a reading that both aligns with Supreme Court case law and ensures that voters of color in judicial retention elections can obtain meaningful relief when denied the ability to select a representative of their choice
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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