Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T18:58:04.588Z Has data issue: false hasContentIssue false

Bridging Contested Terrain: Chaos or Prelude to a Theory*

Published online by Cambridge University Press:  29 November 2010

Jon Hendricks
Affiliation:
Oregon State University

Abstract

Explanatory frameworks in social gerontology often appear to represent variations on a theme. Regardless of subtype, linearity, ordinality, and universality are customarily assumed. This discussion advocates for an alternative model, an exploration of the utility of a new, transformative logic associated with chaos theory and related perspectives. As a metaphor, chaos theory can help gerontologists address contextualized change and non-linear dimensions of human aging processes.

Résumé

Les structures explicatives en gérontologie sociale semblent souvent représenter des variations d'un thème. Quel que soit le sous-type, la linéarité, l'ordinalité, et l'universalité sont présumées. Cette discussion met en valeur un autre modèle, une exploration de l'utilité d'une nouvelle logique transformative liée à la théorie du chaos et à des perspectives connexes. Comme métaphore, la théorie du chaos permet aux gérontologues de s'interroger sur tout changement contextualisé et sur les dimensions non-linéaires du processus de vieillissement.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 1997

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbott, A. (1990). Conceptions of time and events in social science methods. Historical Methods, 23, 140150.CrossRefGoogle Scholar
Baker, P.L. (1993). Chaos, order, and sociological theory. Sociological Inquiry, 63, 123149.CrossRefGoogle Scholar
Baltes, P.B. (1987). Theoretical propositions of life-span developmental psychology: On the dynamics between growth and decline. Developmental Psychology, 23, 611626.CrossRefGoogle Scholar
Becker, K-H., & Dorfler, M. (1989). Dynamical systems and fractals. Cambridge: Cambridge University Press.Google Scholar
Birren, J., & Birren, B. (1990). The concepts, models and history of the psychology of aging. In Birren, J. & Schaie, K.W. (Eds.), Handbook of the psychology of aging 3/e (pp. 320). New York: Academic Press.CrossRefGoogle Scholar
Birren, J., & Hateley, B. (1985). Guided autobiography: A special method of life review. In Blum, R. & Simon, G. (Eds.), The art of life and family writing (pp. 2040). New York: American Lives Endowment.Google Scholar
Brown, C. (1995). Chaos and catastrophe theories-Quantitative applications in the social sciences (No. 1070). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Cambel, A.B. (1993). Applied chaos theory: A paradigm for complexity. New York: Academic Press.Google Scholar
DiPrete, T., & Forristal, J. (1994). Multilevel models: Methods and substance. Annual Review of Sociology, 20, 331357.CrossRefGoogle Scholar
Fabian, T., & Stadler, M. (1991). A chaos approach to delinquent behavior in psychosocial stress situations. Gestalt Theory, 13, 98105.Google Scholar
Feigenbaum, M.J. (1978). Quantitative universality for a class of nonlinear trans-formations. Journal of Statistical Physics, 19, 2552.CrossRefGoogle Scholar
Francis, R.G. (1983). Sociology in a different key: Essays in non-linear sociology. Houston, TX: Cap and Gown Press.Google Scholar
Gergersen, H., & Sailer, L. (1993). Chaos theory and its implications for social science research. Human Relations, 46, 777802.Google Scholar
Giddens, A. (1991). Modernity and self-identity: Self and society in the late modern age Stanford: Stanford University Press.Google Scholar
Gleick, J. (1987). Chaos: Making a new science. New York: Penguin.Google Scholar
Hansson, P.A. (1991). Chaos: Implications for forecasting. Futures. January/February, 50–58.Google Scholar
Hendricks, J. (1992). Generations and the generation of theory in social gerontology. International Journal of Aging and Human Development, 35, 3147.CrossRefGoogle ScholarPubMed
Hendricks, J. (1995). Taking a longer view: Sociological perspectives on longer life. In Seltzer, M.M. (Ed.), The impact of increased life expectancy: Beyond the gray horizon (pp. 5170). New York: Springer Publishing Company.Google Scholar
Hobbs, J. (1991). Chaos and indeterminism. Canadian Journal of Philosophy, 21, 141164.CrossRefGoogle Scholar
Holte, J. (1993). Introduction. In Holte, J. (Ed.), Chaos: The new science (pp. vii–xii). Saint Peter, MN: Gustavus Adolphus College.Google Scholar
Kiel, L.D. (1991) Lessons from the nonlinear paradigm: Applications of the theory of dissipative structures in the social sciences. Social Science Quarterly, 72, 431442.Google Scholar
Kincanon, E., & Powel, W. (1995). Chaotic analysis in psychology and psychoanalysis. The Journal of Psychology, 129, 495505.Google Scholar
Lawton, M.P. (1983). Environment and other determinants of well-being in older people. The Gerontologist, 23, 349357.Google Scholar
Li, T.Y., & Yorke, J.A. (1975). Period three implies chaos. American Mathematical Monthly, 82, 985992.Google Scholar
Lorenz, E.N. (1972). Does the flap of a butterfly's wings in Brazil set off a tornado in Texas?”Paper presented to American Association for the Advancement of Science,Washington, DC,December 29, 1972.Google Scholar
Lorenz, E.N. (1993). The essence of chaos. Seattle: University of Washington Press.CrossRefGoogle Scholar
Loye, D., & Eisler, R. (1987). Chaos and transformation: Implications of nonequilibrium theory for social science and society. Behavioral Science, 32, 5365.CrossRefGoogle ScholarPubMed
Maddox, G.L. (1987). Aging differently. The Gerontologist, 27, 557564.Google Scholar
Maddox, G.L. (1995). If you want to understand something, try to change it.Paper presented to the Gerontological Society of America,Los Angeles, CA.Google Scholar
Mandel, D. (1995). Chaos theory, sensitive dependence, and the logistic equation. American Psychologist, February, 106–107.CrossRefGoogle Scholar
Mandelbrot, B.B. (1977). The fractal geometry of nature. New York: W.H. Freeman.Google Scholar
Marshall, V.W. (1995). Social models of aging. Canadian Journal on Aging, 14(1), 1234.Google Scholar
Marshall, V.W. (1996). The state of theory in aging and the social sciences. In Binstock, R.H. & George, L.K. (Eds.), Handbook of aging and the social sciences 4/e (pp. 1230). San Diego, CA: Academic Press.Google Scholar
Nelson, E.A., & Dannefer, D. (1992). Aged heterogeneity: Fact or fiction? The fate of diversity in gerontological research. The Gerontologist, 32, 1723.CrossRefGoogle ScholarPubMed
Nesselroade, J. (1988). Sampling and generalizability: Adult development and aging research issues examined within the general methodological framework of selection. In Schaie, K.W., Campbell, R.Meredith, W., & Rawlings, S. (Eds.), Methodological issues in aging research (pp. 1342). New York: Springer.Google Scholar
Passuth, P.M., & Bengtson, V.L. (1988). Sociological theories of aging: Current perspectives and future directions. In Birren, J.E. & Bengtson, V.L. (Eds.), Emergent Theories of Aging (pp. 333355). New York: Springer.Google Scholar
Richards, D. (1992). Spatial correlation test for chaotic dynamics in political science. American Journal of Political Science, 36, 10471069.CrossRefGoogle Scholar
Riley, M.W. (1993). The coming revolution in age structure. R–110, Working Paper Series, Pepper Institute on Aging and Public Policy. Tallahassee: Florida State University.Google Scholar
Riley, M.W., Johnson, M., & Foner, A. (1972). Aging and society, Volume 3: A sociology of age stratification. New York: Russell Sage Foundation.Google Scholar
Riley, M.W., Kahn, R.L., & Foner, A. (Eds.). (1994). Age and structural lag. New York: Wiley Interscience.Google Scholar
Schroots, J.J.F. (1988). On growing, formative change, and aging. In Birren, J.E. & Bengtson, V.L. (Eds.), Emergent theories of aging (pp. 299329). New York: Springer Publishing Company.Google Scholar
Schroots, J.J.F. (1993). Psychological models of aging.Paper presented to the XVth Congress of the International Association of Gerontology,Budapest, Hungary.Google Scholar
Schroots, J.J.F. (1995a). Psychological models of aging. Canadian Journal on Aging, 14(1), 4466.CrossRefGoogle Scholar
Schroots, J.J.F. (1995b). Gerodynamics: Toward a branching theory of aging. Canadian Journal on Aging, 14(1), 7481.CrossRefGoogle Scholar
Schroots, J.J.F. (1995c). The fractal structure of lives: Continuity and discontinuity in autobiography. In Birren, J.E.Kenyon, G.M., Ruth, J-E.. Schroots, J.J.F., & Svensson, T. (Eds.), Aging and biography: Explorations in adult development (pp. 117130). New York: Springer.Google Scholar
Schroots, J.J.F., & Birren, J.E. (1988). The nature of time: Implications for research on aging. Comprehensive Gerontology, C, 129.Google Scholar
Smith, R.D. (1995). The inapplicability principle: What chaos means for social science. Behavioral Science, 40, 2240.Google Scholar
Thorn, R. (1975). Structural stability and morphogenesis: An outline of a general theory of Models. Reading, MA: W.A. Benjamin.Google Scholar
Topsoe, F. (1990). Spontaneous phenomena: A mathematical analysis. Boston: Academic Press (trans by John Stillwell).CrossRefGoogle Scholar
Waddington, C.H. (1957). The strategy of genes. London: Allen & Unwin (cited in Schroots, 1988).Google Scholar
Young, T.R. (1991a). Chaos theory and symbolic interaction theory: Poetics for the postmodern sociologist. Symbolic Interaction, 14, 321334.Google Scholar
Young, T.R. (1991b). Chaos and social change: Metaphysics of the postmodern. Social Science Journal, 28, 289305.CrossRefGoogle Scholar