Vertical Boilerplate

2017 ◽  
Author(s):  
James Gibson

Despite what we learn in law school about the “meeting of the minds,” most contracts are merely boilerplate—take-it-or-leave-it propositions. Negotiation is nonexistent; we rely on our collective market power as consumers to regulate contracts’ content. But boilerplate imposes certain information costs because it often arrives late in the transaction and is hard to understand. If those costs get too high, then the market mechanism fails. So how high are boilerplate’s information costs? A few studies have attempted to measure them, but they all use a “horizontal” approach—i.e., they sample a single stratum of boilerplate and assume that it represents the whole transaction. Yet real-world transactions often involve multiple layers of contracts, each with its own information costs. What is needed, then, is a “vertical” analysis, a study that examines fewer contracts of any one kind but tracks all the contracts the consumer encounters, soup to nuts. This Article presents the first vertical study of boilerplate. It casts serious doubt on the market mechanism and shows that existing scholarship fails to appreciate the full scale of the information cost problem. It then offers two regulatory solutions. The first works within contract law’s unconscionability doctrine, tweaking what the parties need to prove and who bears the burden of proving it. The second, more radical solution involves forcing both sellers and consumers to confront and minimize boilerplate’s information costs—an approach I call “forced salience.” In the end, the boilerplate experience is as deep as it is wide. Our empirical work should reflect that fact, and our policy proposals should too.

2021 ◽  
Vol 23 (1) ◽  
pp. 69-85
Author(s):  
Hemank Lamba ◽  
Kit T. Rodolfa ◽  
Rayid Ghani

Applications of machine learning (ML) to high-stakes policy settings - such as education, criminal justice, healthcare, and social service delivery - have grown rapidly in recent years, sparking important conversations about how to ensure fair outcomes from these systems. The machine learning research community has responded to this challenge with a wide array of proposed fairness-enhancing strategies for ML models, but despite the large number of methods that have been developed, little empirical work exists evaluating these methods in real-world settings. Here, we seek to fill this research gap by investigating the performance of several methods that operate at different points in the ML pipeline across four real-world public policy and social good problems. Across these problems, we find a wide degree of variability and inconsistency in the ability of many of these methods to improve model fairness, but postprocessing by choosing group-specific score thresholds consistently removes disparities, with important implications for both the ML research community and practitioners deploying machine learning to inform consequential policy decisions.


Author(s):  
Alberto M. Bento ◽  
Lourdes F. White

<p class="MsoNormal" style="text-align: justify; margin: 0in 37.8pt 0pt 0.5in; tab-stops: 387.0pt;"><span style="mso-bidi-font-style: italic;"><span style="font-size: x-small;"><span style="font-family: Batang;">This extends agency theory to introduce organizational form as a decision variable that directly influences risk bearing and the costs of control in small businesses.<span style="mso-spacerun: yes;">&nbsp; </span>Based on information cost and organization design theories, we propose a relationship between organizational form and information costs.<span style="mso-spacerun: yes;">&nbsp; </span>Our empirical results reveal that organizational form is the first or second most important decision variable related to performance and information costs in small businesses. </span></span></span></p>


2018 ◽  
Vol 51 (01) ◽  
pp. 194-196
Author(s):  
Justin Gollob

ABSTRACT At a time when a single semester of law school can be a significant financial investment, the decision to attend law school should not be made casually. Instead, decisions should be influenced by data, reflection, and an understanding of real-world outcomes. In this article, I present The Legal Career Compatibility Project; a tool to help students make an informed decision about pursuing a career in law. Using Bolles (2003), Phases 1 and 2 help prospective law students determine whether they should pursue a legal career. Phase 3 helps students determine where and how to apply to law school. Considering that the odds of gaining admission to law school are high, conversations about whether one should attend law school are equally, if not more, important than conversations about how to gain admission. The purpose of the project is to influence how decisions to attend law school are made, not to encourage or discourage students from a career in law.


2017 ◽  
Author(s):  
David Roodenburg ◽  
Jan Atle Andresen ◽  
Marcelo Zifchak Huisman

2014 ◽  
Vol 96 (895-896) ◽  
pp. 943-968
Author(s):  
Laurie R. Blank ◽  
David Kaye

AbstractLaw school clinics focused on international humanitarian law (IHL) enable students to participate directly in the development and application of IHL through concrete “real world” work – from training to research and fact-finding, litigation to high-level advocacy, and many spaces in between. These opportunities do far more than just contribute to these students' development as effective, reflective lawyers, certainly a key goal of any clinical environment. Clinical IHL work also matches clinical pedagogy with cutting-edge issues in armed conflict to deepen students' law school experiences and enables them to engage in the IHL goals of promotion, implementation and enforcement.


1999 ◽  
Vol 29 (2) ◽  
pp. 402-412 ◽  
Author(s):  
PAUL V. WARWICK

For some time now, formal modelling has been touted by its supporters as a panacea for political science – or at least as a major step forward in the discipline's development. Certainly, it embodies a number of praiseworthy elements. Its insistence on starting with a parsimonious and precisely formulated set of assumptions cannot help but constrain slippery thinking, for example, and its rigorous working out of implications, while often demonstrating the obvious, occasionally leads to unanticipated and intriguing results. Moreover, the combination of precision and rigour holds forth the promise of generating relatively clear-cut tests of rival explanations, a major boon – if it proves true – in a discipline more inclined to abandon theories than to disconfirm them.How much better the analytical or formal orientation is, then, than the ‘funnel of causality’ approach of empiricists whose quest for the highest explained variance seldom produces more than a miscellaneous grab-bag of influences on the dependent phenomenon. Empirical work of that sort may have some limited utility in identifying possible causes, to be sure, but at some point the scholarly enterprise must move to the higher level of elaborating a clear logical structure among causal factors. Here, empirical success in accounting for observed phenomena cannot be the sole guide: the best theory is the one that provides the most accurate idea of what is actually going on in the real world, not the one with the best correlations.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
M. Kebbe ◽  
A. Farmer ◽  
M. P. Dyson ◽  
S. D. Scott ◽  
T. L. F. McHugh ◽  
...  

Abstract Background Adolescents and providers can benefit from practical tools targeting lifestyle modification for obesity prevention and management. We created Conversation Cards for Adolescents© (CCAs), a patient-centered communication and behavior change tool for adolescents and providers to use in clinical practice. The purpose of our study is to (i) assess the feasibility of CCAs in a real-world, practice setting to inform full-scale trial procedures, (ii) assess user experiences of CCAs, and (iii) determine the preliminary effect of CCAs on changing behavioral and affective-cognitive outcomes among adolescents. Methods Starting in early 2019, this prospective study is a nested mixed-methods, theory-driven, and pragmatic pilot randomized controlled trial with a goal to enroll 50 adolescents (13–17 years old) and 9 physicians practicing at the Northeast Community Health Centre in Edmonton, Alberta, Canada. Adolescents will collaboratively set one S.M.A.R.T. (specific, measurable, attainable, realistic, timely) goal with their physician to implement over a 3-week period; however, only those randomized to the experimental group will use CCAs to inform their goal. Outcome assessments at baseline and follow-up (3 weeks post-baseline) will include behavioral, affective-cognitive, and process-related outcomes. Discussion In examining the feasibility, user experiences, and preliminary effect of CCAs, our study will add contributions to the obesity literature on lifestyle modifications among adolescents in a real-world, practice setting as well as inform the scalability of our approach for a full-scale effectiveness randomized controlled trial on behavior change. Trial registration ClinicalTrials.gov Identifier: NCT03821896.


Author(s):  
Fabio Orengo ◽  
Malcolm H. Ray ◽  
Chuck A. Plaxico

Often when vehicles interact with roadside hardware like guardrails, bridge rails and curbs, the interaction between the roadside hardware and the tire causes the tire to lose its air seal and “blow-out”. Once the seal between the rim and rubber tire is lost, the tire deflates. The behavior of the deflated tire is much different than the behavior of an inflated tire such that when this behavior is observed in real world crashes or in full-scale crash tests, the vehicle kinematics are strongly coupled to the behavior of the deflated tire. Accounting for this behavior in LS-DYNA models is crucial in many types of roadside hardware simulations since the forces generated by the deflated tire often introduce instability into the vehicle that can cause rollover or spinout. This paper will present a method for accounting for tire deflation during LS-DYNA simulations and will present examples of the use of this type of improved model.


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