Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/807230
- Error, error-statistics and self-directed anticipative learning
Farrell, R. P.;
Hooker, C. A.
- The University of Newcastle. Faculty of Education & Arts, School of Education
- Error is protean, ubiquitous and crucial in scientific process. In this paper it is argued that understanding scientific process requires what is currently absent: an adaptable, context-sensitive functional role for error in science that naturally harnesses error identification and avoidance to positive, success-driven, science. This paper develops a new account of scientific process of this sort, error and success driving Self-Directed Anticipative Learning (SDAL) cycling, using a recent re-analysis of ape-language research as test example. The example shows the limitations of other accounts of error, in particular Mayo’s (Error and the growth of experimental knowledge, 1996) error-statistical approach, and SDAL cycling shows how they can be fruitfully contextualised.
- Foundations of Science Vol. 14, Issue 4, p. 249-271
- Publisher Link
- Springer Netherlands
error in science;
- Resource Type
- journal article