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The Loss of the Great Outdoors: Neither Correlationist Gem nor Kantian Catastrophe

Abstract

This article concerns Quentin Meillassoux’s claim that Kant’s revolution is responsible for philosophy’s catastrophic loss of the ‘great outdoors’, of our knowledge of things as they are in themselves. I argue that Meillassoux’s critique of Kant’s ‘weak’ correlationism and his defence of ‘strong’ correlationism are predicated on a fallacious argument (termed ‘the Gem’ by David Stove) and the traditional, but in my view mistaken, metaphysical interpretation of Kant’s transcendental distinction. I draw on Henry Allison’s interpretation of Kant’s idealism to argue that when Kant’s transcendental distinction is understood epistemologically we can avoid the fallacious reasoning underpinning Meillassoux’s argument, and at the very least attenuate his concerns about the ‘Kantian catastrophe’.

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Canonical correlation analysis for functional data

References Krzyśko M. (2009): Podstawy wielowymiarowego wnioskowania statysty- cznego [Foundations of multidimensional statistical inference]. Wydawnictwo Naukowe UAM, Poznan. Leurgans S.E., Moyeed R.A., Silverman B.W. (1993): Canonical correlation analy- sis when the data are curves. Journal of the Royal Statistical Society B 55(3): 725{740. Ramsay J.O., Danzell C.J. (1991): Some tools for functional data analysis. Journal of the Royal Statistical Society B 53: 539-572. Ramsay J

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Correlation of Neutrosophic Sets in Probability Spaces

Crisp Open Set and Neutrosophic Crisp Continuity via Neutrosophic Crisp Ideals, I.J. Information Engineering and Electronic Business, Published Online October 2014 in MECS. [8] A. Robinson, (1960), “Non-Standard analysis”, Princeton University Press, Princeton, New Jersey. [9] C. Yu, (1993), “Correlation of fuzzy numbers”. Fuzzy Sets and Systems, 55:303-307. [10] D. H. Hong, S.Y. Hwang, (1995), “Correlation of Intuitionistic fuzzy sets in probability spaces”, Fuzzy Sets and Systems, 75:77-81. [11] F. Smarandach, (2002), “A new branch of philosophy, in multiple

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MAGNETOSTRUCTURAL J-CORRELATIONS IN Fe(III) COMPLEXES – A REVISION

References CRAWFORD, V. H., RICHARDSON, H. W. , WASSON, J. R., HODGSON, D. J., HATFIELD, W. E.: Relation between the singlet-triplet splitting and the copperoxygen- copper bridge angle in hydroxo-bridged copper dimers. Inorg. Chem., 15 (9), 1976, 2107-2110. GLERUP, J., HODGSON, D. J., PEDERSEN, E.: A Novel Correlation between Magnetism and Structural Parameters in Superexchange Coupled Chromium(III) Dimers. Acta. Chem. Scand., 37, 1983, 161-164. GORUN, M. S., LIPPARD, J. S.: Magnetostructural

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Usage of Digital Image Correlation in Analysis of Cracking Processes

References [1] Pilch A., Mahajan A., Chu T. - Measurement of whole-field surface displacements and strain using a genetic algorithm based intelligent image correlation method, Journal of Dynamic Systems, Measurement, and Control, v. 126, 3, 479-488. 2004. [2] Lagattu F., Brillaud J., Lafarie-Frenot M.C. - High strain gradient measurements by using digital image correlation technique. Materials Characterization 53,17-28. 2004 [3] PC Hung, AS Voloshin - In-plane Strain Measurement by Digital Image

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Multiscale Monitoring of Deformation Fields by Digital Image Correlation Method

References [1] M c C ormick , N., J. D. L ord . Digital Image Correlation. Materials Today , 13 (2012), No. 12 , 52-54. [2] R amos , T., A. F urtado , S h . E slami , S. A lves , H. R odriges , A. A rede , P. T avares , P. M orena . 2D and 3D Digital Image Correlation in Civil Engineering – Measurements in a Masonry Wall. Procedia Engineering , 114 (2015), 215-222. [3] W instroth , J., L. S choen , B. E rnst , J. R. S eume . Wind Turbine Rotor Blade Monitoring Using Digital Image Correlation: A Comparison to Aeroelastic Simulations of a

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Pair Correlations and Random Walks on the Integers

REFERENCES [KN] KUIPERS, L.—NIEDERREITER, H.: Uniform Distribution of Sequences . Pure and Applied Mathematics, Wiley-Interscience [John Wiley & Sons], New York-London-Sydney, 1974. [NP] NAIR, R.—POLLICOTT, M.: On pair correlations of sequences in higher dimensions , Israel J. Math. 157 (2007), no. 1, 219–238. [Sp] SPITZER, F. L.: Principles of Random Walks . Second ed. Graduate Texts in Mathematics, Vol. 34. Springer-Verlag, New York-Heidelberg, 1976. [St] STONE, C. T.: On local and ratio limit theorems , in: Proc. of the Fifth

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A Comparative Study of Random Patterns for Digital Image Correlation

White Light Speckle Photography. J. of Theor. and Appl. Mechanics , 24 (1993), 151-156. Peters, W. H., W. F. Ranson. Digital Image Techniques in Experimental Stress Analysis. Opt. Eng. , 21 (1982), 427-431. Lecompte, D., A. Smits, S. Bossuyt, H. Sol, J. Vantomme, D. Van Hemelrijck, A. M. Habraken. Quality Assessment of Speckle Patterns for Digital Image Correlation. Opt. and Las. in Eng. , 44 (2006), 1132-1145. Hild, F., St. Roux. Full-Field Measurements and Identification in Solid

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The use the of digital image correlation in a strain analysis

References Bruck H.A., McNeill S.R., Sutton M.A. and Peters W.H. (1989): Digital image correlation using Newton-Raphson method of partial differential correction. - Experimental Mechanics, vol.29(3), pp.261-267. Chu T.C., Ranson W.F., Sutton M.A. and Peters W.H. (1985): Applications of digital image correlation techniques to experimental mechanics. - Experimental Mechanics, vol.25, pp.232-244. Dantec Dynamics. Digital Imagine Correlation System (Q-400). www.dantecdynamics.com Kostka J. (2012

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Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data

References Anderson T.W., 1996. R.A. Fisher and multivariate analysis. Statistical Science 11 (1): 20-34. Bravais A., 1846. Analyse mathématique sur les probabilités des erreurs de situation d'un point. Mémoires présentés par divers savants à l'Académie Royale des Sciences de l'Institut de France 9: 255-332. Daniels H.E., 1944. The relation between measures of correlation in the universe of sample permutations. Biometrika 33 (2): 129-135. Fisher R

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