Week 2: Paradigms, revolutions, and research programs Flashcards
Kuhn’s philosophy: Paradigm
paradigm - a whole way of doing science, in some particular field. Package of claims about the world, methods for gathering and analysing data, and habits of scientific thought and action
Kuhn’s philosophy: Normal science
normal science - doesn’t question status quo, does not aim to produce real novelty
Kuhn’s philosophy: Disciplinary matrix
disciplinary matrix - “paradigm” in a broad sense: what the members of a scientific community, and they alone, share. all the shared commitments that bind scientists into a distinct community.
the pieces that make up a paradigm? incl. exemplars, metaphysical beliefs, values
exemplars - community’s shared set of standard achievements or concrete problem solutions. specific cases
Kuhn’s philosophy: Anomaly and scientific crisis
anomaly - a- (abscess of) & -nomos (law), failure to solve a puzzle in practice of science
scientific crises - when a series of anomalies start to appear - scientists start to philosophize (they stop solving puzzles and start reflecting on the paradigm itself).
Here new ideas and methods may arrive. Kuhn argues that they are good for science.
Kuhn’s philosophy: Revolution
revolution - the big changes in how scientists see the world, occur when one paradigm replaces another
Kuhn’s philosophy: Incommensurability
incommensurability - not comparable using a common standard (incomparability)
How do these concepts: Paradigm,, Normal science, Disciplinary matrix, Anomaly and scientific crisis, Revolution, and Incommensurability play a role in Kuhn’s view of scientific development?
First there’s a paradigm –> We have normal science –> We have a disciplinary matrix –> Then we start to have anomalies –> once they pile up we have a crisis –> this leads to an revolution –> and finally we have a new paradigm.
Three levels of scientific practice
the three levels;
1) individual scientist/hypothesis
2)communities of scientists and their social network
3) embedding of scientific community within larger society
Which of the three levels of scientific practice (Godfrey-Smith p. 112) was Kuhn primarily interested in? Which level did Popper focus on? How is this reflected in their accounts of scientific change?
much of the subtlety and interest in kuhn’s view is about level 2 relationships
popper more interested in the individual
kuhn: few anomalies don’t matter, once they build up, science has to change; makes sense he’s primarily interested in level 2. popper: one failure and the theory is out the window; makes sense he’d be interested in level 1.
Is it a consequence of Kuhn’s paradigm theory that scientific progress over longer historical periods is impossible?
in a strict reading, kuhn says we cannot measure progress outside of a paradigm
no progress between paradigms
So therefore there can’t be a longer period of scientific progress, as it instead will just be a shift from one paradigm to another.
Normative view of science
How science should be/ What scientist should do to be a “good scientist”
Descriptive view of science
How science is. General picture
Is it Kuhn’s intention to describe science as it is, or as it should be (is Kuhn descriptive or normative)?
Kuhn’s intention seems to be more describing science, but at some points he uses a more normative perspective; we should appreciate revolutions
popper very normative
. How can Kuhn’s conceptual framework be used to describe challenges for interdisciplinary integration? Can you give examples of this? (From Green & Andersen or own examples)
other disciplines have other toolboxes
problems/challenges: different standards for good science/experiments e.g. reproducability, different models (complexity vs system, how detailed they like to be), elements of different disciplinary matrices that don’t overlap
Describe Lakatos’ views on research programs and key concepts in his philosophy (‘hard core’, ‘protective belt’, ‘positive heuristic’, ‘negative heuristic’, etc.)
good science: already recognises good science
hard core: main postulate
heuristics are just guidelines
positive heuristics: protect (support) hard core
negative heuristics: undermine scientific research programme i.e. hard core
protective belt: built up of multiple heuristics to strengthen hard core