1,357 research outputs found
Automated legal sensemaking: the centrality of relevance and intentionality
Introduction: In a perfect world, discovery would ideally be conducted by the senior litigator who is
responsible for developing and fully understanding all nuances of their clientâs legal strategy. Of
course today we must deal with the explosion of electronically stored information (ESI) that
never is less than tens-of-thousands of documents in small cases and now increasingly involves
multi-million-document populations for internal corporate investigations and litigations.
Therefore scalable processes and technologies are required as a substitute for the authorityâs
judgment. The approaches taken have typically either substituted large teams of surrogate
human reviewers using vastly simplified issue coding reference materials or employed
increasingly sophisticated computational resources with little focus on quality metrics to insure
retrieval consistent with the legal goal. What is required is a system (people, process, and
technology) that replicates and automates the senior litigatorâs human judgment.
In this paper we utilize 15 years of sensemaking research to establish the minimum acceptable
basis for conducting a document review that meets the needs of a legal proceeding. There is
no substitute for a rigorous characterization of the explicit and tacit goals of the senior litigator.
Once a process has been established for capturing the authorityâs relevance criteria, we argue
that literal translation of requirements into technical specifications does not properly account for
the activities or states-of-affairs of interest. Having only a data warehouse of written records, it
is also necessary to discover the intentions of actors involved in textual communications. We
present quantitative results for a process and technology approach that automates effective
legal sensemaking
C-Parameter and Jet Broadening at PETRA Energies
e^+e^- annihilation data recorded by the JADE detector at PETRA were used to
measure the C-parameter for the first time at \sqrt{s}= 35 and 44 GeV. The
distributions were compared to a resummed QCD calculation.
In addition, we applied extended resummed calculations to the total and wide
jet broadening variables, B_T and B_W. We combined the results on \alpha_s with
those of our previous study of differential 2-jet rate, thrust, and heavy jet
mass, obtaining
\alpha_s(35 GeV) = 0.1448 +0.0117 -0.0070 and \alpha_s(44 GeV) = 0.1392
+0.0105 -0.0074.
Moreover power corrections to the mean values of the observables mentioned
above were investigated considering the Milan factor and the improved
prediction for the jet broadening observables.
Our study, which considered e^+e^- data of five event shape observables
between \sqrt{s}= 14 and 183 GeV, yielded \alpha_s(M_{Z^0})=0.1177 +0.0035
-0.0034.Comment: 14 pages, LaTeX2e, 9 .eps-files included, abbreviated version of the
paper contributed to the ICHEP'98 conference in Vancouver, submitted to Phys.
Lett.
Study of moments of event shapes in e+e- annihilation using JADE data
Data from e+e- annihilation into hadrons collected by the JADE experiment at
centre-of-mass energies between 14 GeV and 44 GeV were used to study moments of
event shape distributions. The data were compared with Monte Carlo models and
with predictions from QCD NLO order calculations. The strong coupling constant
measured from the moments is alpha_S(M_Z) = 0.1286 +/- 0.0007 (stat) +/- 0.0011
(expt) +/- 0.0022 (had) +/- 0.0068 (theo), alpha_S(M_Z) = 0.1286 +/- 0.0072
(total error), consistent with the world average. However, systematic
deficiencies in the QCD NLO order predictions are visible for some of the
higher moments.Comment: JADE note 147 submitted as contributed paper to ICHEP 2004, corrected
statistical error of 6 observable average and several typo
Data and Tools to Operationalize Ridge-to-Reef Management and Build Island Resilience in Oceanic Island Environments.
Ph.D. Thesis. University of HawaiÊ»i at MÄnoa 2017
A Study of Event Shapes and Determinations of alpha_s using data of e^+e^- Annihilations at sqrt{s} = 22 to 44 GeV
Data recorded by the JADE experiment at the PETRA e^+e^- collider were used
to measure the event shape observables thrust, heavy jet mass, wide and total
jet broadening and the differential 2-jet rate in the Durham scheme. For the
latter three observables, no experimental results have previously been
presented at these energies. The distributions were compared with resummed QCD
calulations (O(alpha_s^2)+NLLA), and the strong coupling constant alpha_s(Q)
was determined at different energy scales Q=sqrt{s}. The results,
\alpha_s(22 GeV) = 0.161 ^{+0.016}_{-0.011},
\alpha_s(35 GeV) = 0.143 ^{+0.011}_{-0.007},
\alpha_s(44 GeV) = 0.137 ^{+0.010}_{-0.007}, are in agreement with previous
combined results of PETRA albeit with smaller uncertainties. Together with
corresponding data from LEP, the energy dependence of alpha_s is significantly
tested and is found to be in good agreement with the QCD expectation.
Similarly, mean values of the observables were compared to analytic QCD
predictions where hadronisation effects are absorbed in calculable power
corrections.Comment: 36 pages, LaTeX2e, 34 .eps-files included, submitted to Z. Phys. C,
revised version, with comments of referee included and some typos corrected,
accepted for publicatio
Measurement of the Strong Coupling Constant alpha_S from the Four-Jet Rate in e+e- Annihilation using JADE data
Data from e+e- annihilation into hadrons collected by the JADE experiment at
centre-of-mass energies between 14 GeV and 44 GeV were used to study the
four-jet rate as a function of the Durham algorithm's resolution parameter
y_cut. The four-jet rate was compared to a QCD NLO order calculations including
NLLA resummation of large logarithms. The strong coupling constant measured
from the four-jet rate is alpha_S(M_Z) = 0.1169 +/- 0.0004 (stat) +/- 0.0012
(expt) +/- 0.0021 (had) +/- 0.0007 (theo), alpha_S(M_Z) = 0.1169 +/- 0.0026
(total error) in agreement with the world average.Comment: JADE note 146 submitted as contributed paper to ICHEP 200
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