Academic literature on the topic 'Pivoter'

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Journal articles on the topic "Pivoter"

1

Barth-Weingarten, Dagmar, Uwe-A. Küttner, and Chase Wesley Raymond. "Pivots revisited: Cesuring in action." Open Linguistics 7, no. 1 (2021): 613–37. http://dx.doi.org/10.1515/opli-2020-0152.

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Abstract The term “pivot” usually refers to two overlapping syntactic units such that the completion of the first unit simultaneously launches the second. In addition, pivots are generally said to be characterized by the smooth prosodic integration of their syntactic parts. This prosodic integration is typically achieved by prosodic-phonetic matching of the pivot components. As research on such turns in a range of languages has illustrated, speakers routinely deploy pivots so as to be able to continue past a point of possible turn completion, in the service of implementing some additional or revised action. This article seeks to build on, and complement, earlier research by exploring two issues in more detail as follows: (1) what exactly do pivotal turn extensions accomplish on the action dimension, and (2) what role does prosodic-phonetic packaging play in this? We will show that pivot constructions not only exhibit various degrees of prosodic-phonetic (non-)integration, i.e., differently strong cesuras, but that they can be ordered on a continuum, and that this cline maps onto the relationship of the actions accomplished by the components of the pivot construction. While tighter prosodic-phonetic integration, i.e., weak(er) cesuring, co-occurs with post-pivot actions whose relationship to that of the pre-pivot tends to be rather retrospective in character, looser prosodic-phonetic integration, i.e., strong(er) cesuring, is associated with a more prospective orientation of the post-pivot’s action. These observations also raise more general questions with regard to the analysis of action.
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2

Alonso, Santiago. "Comprender: propuesta de pivotes." Educación 20, no. 38 (2011): 7–21. http://dx.doi.org/10.18800/educacion.201101.001.

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La pregunta básica es qué se necesita para comprender. La propuesta es que comprender necesita pivotes, término utilizado para integrar hallazgos en varias áreas. De tal manera, un pivote puede ser entendido como un modelo mental. Un pivote también es el cuerpo, idea que surge del concepto de cognición corporizada. Pero tal vez más fundamental, la biología y el cerebro son los pivotes esenciales para comprender. Así, el ensayo se puede ver como un recorrido breve de tres materias: modelos mentales, cognición corporizada y neurociencias cognitivas; todas necesarias para entender cómo comprende una persona
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3

Holt, Elizabeth, and Paul Drew. "Figurative Pivots: The Use of Figurative Expressions in Pivotal Topic Transitions." Research on Language & Social Interaction 38, no. 1 (2005): 35–61. http://dx.doi.org/10.1207/s15327973rlsi3801_2.

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4

STAREC, Milan. "Brewery Radvanice." Kvasny Prumysl 56, no. 1 (2010): 24–27. http://dx.doi.org/10.18832/kp2010004.

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5

Ruiz, Guillermo, Edgar Chavez, Ubaldo Ruiz, and Eric S. Tellez. "Extreme pivots: a pivot selection strategy for faster metric search." Knowledge and Information Systems 62, no. 6 (2019): 2349–82. http://dx.doi.org/10.1007/s10115-019-01423-5.

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6

Mohamed, Abdelmoneim Z., R. Troy Peters, Abid Sarwar, Behnaz Molaei, and Don McMoran. "Impact of the Intermittency Movement of Center Pivots on Irrigation Uniformity." Water 13, no. 9 (2021): 1167. http://dx.doi.org/10.3390/w13091167.

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A computer model was developed to simulate the varying depths of water applied to the ground due to the intermittent movements of a typical center pivot. The stop–go model inputs include the sprinkler application depth, the sprinkler pattern, that pattern’s wetted radius, the center pivot’s % timer setting, the move cycle time, and the end tower maximum travel speed. The model outputs were the depth of application in the pivot’s movement direction, the distribution uniformity (DU), and the coefficient of uniformity (CU). The results revealed that the pivot circular application uniformity is mostly a function of the move distance as a percent of the sprinklers’ wetted radius. This, in turn, is a function of the percent timer setting, the cycle time, and the end tower travel speed. Due to this, the high-speed center pivots had corresponding lower application uniformities compared to low-speed machines, and sprinklers with larger wetted radii resulted in better uniformity. Shortening the cycle time also resulted in higher uniformity coefficients. Based on these results, it is recommended that the run time be set based on the pivot end-tower’s travel speed and sprinkler wetted radius, such that the end tower move distance is equivalent to the sprinkler wetted radius. This will reduce wear to the tower motors due to the on–off cycling, especially for slow travel settings and for sprinklers with larger wetted radii. The ponding depths at different percent of the move distance, for the potential runoff, were estimated, which were set to be equivalent to the wetted radius.
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7

Han, Xueran, Jun Chen, Jiaheng Lu, Yueguo Chen, and Xiaoyong Du. "PivotE." Proceedings of the VLDB Endowment 12, no. 12 (2019): 1966–69. http://dx.doi.org/10.14778/3352063.3352111.

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8

Gray, Thomas R., and Jeffery A. Jenkins. "Unpacking pivotal politics: exploring the differential effects of the filibuster and veto pivots." Public Choice 172, no. 3-4 (2017): 359–76. http://dx.doi.org/10.1007/s11127-017-0450-z.

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9

Geisinger, Elliott. "President’s Message: Pivotal Times – But Which Way Will the Pivot Point?" ASA Bulletin 34, Issue 3 (2016): 561–64. http://dx.doi.org/10.54648/asab2016047.

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10

Hirsch, Alexander V. "Theory Driven Bias in Ideal Point Estimates—A Monte Carlo Study." Political Analysis 19, no. 1 (2011): 87–102. http://dx.doi.org/10.1093/pan/mpq028.

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This paper analyzes the use of ideal point estimates for testing pivot theories of lawmaking such as Krehbiel's (1998, Pivotal politics: A theory of U.S. lawmaking. Chicago, IL: University of Chicago) pivotal politics and Cox and McCubbins's (2005, Setting the Agenda: Responsible Party Government in the U.S. House of Representations. New York: Cambridge University Press) party cartel model. Among the prediction of pivot theories is that all pivotal legislators will vote identically on all successful legislation. Clinton (2007, Lawmaking and roll calls. Journal of Politics 69:455–67) argues that the estimated ideal points of the pivotal legislators are therefore predicted to be statistically indistinguishable and false when estimated from the set of successful final passage roll call votes, which implies that ideal point estimates cannot logically be used to test pivot theories. I show using Monte Carlo simulation that when pivot theories are augmented with probabilistic voting, Clinton's prediction only holds in small samples when voting is near perfect. I furthermore show that the predicted bias is unlikely to be consequential with U.S. Congressional voting data. My analysis suggests that the methodology of estimating ideal points to compute theoretically relevant quantities for empirical tests is not inherently flawed in the case of pivot theories.
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