Notes on critical hermeneutics and knowledge systems
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Introduction: Overview of Critical Hermeneutics
Basic Characteristics
- Development Background:
- Developed by École de Lille
- New method from third historical phase of hermeneutics (late 20th century to present)
- Research Features:
- Research Object: Problematic meanings (obscurity in broad sense)
- Essential Shift: From studying "being with understanding" to "being with non-understanding"
- Contemporary Mission:
- Interpreting the obscurity (obscurité) of our era
- Mysticism can be viewed as an attempt to interpret contemporary obscurity
Core Content of Lecture One
I. Background: Two Historical Views
1. Accumulative View of History
- Historical Context:
- Galileo's trial
- Descartes' suspension of "The World"
- Key Thinkers:
- Descartes' Perspective:
- Emphasizes knowledge accumulation
- Advocates public sharing of knowledge
- Believes collective wisdom surpasses individual limitations
- Pascal's Perspective:
- Introduces concept of "humanity" as a whole
- Emphasizes continuous progress of humankind
- Questions blind reverence for ancient wisdom
- Descartes' Perspective:
2. Whig Historiography
- Three Main Characteristics:
- Linearity: History develops in a single line
- Progressiveness: Continuous improvement
- Purposefulness: Specific developmental direction
- Critical Features:
- Tendency toward moral judgment
- Teleological bias
- Presentism issues
II. Incommensurability
1. Conceptual Origin
- Derived from Euclidean geometry
- Revived by Einstein in 20th century
- Used to describe fundamental differences between knowledge systems
2. Understanding Perspectives
- Metaphorical Understanding:
- Knowledge building isn't simple addition
- Requires partial demolition and reconstruction
- New knowledge systems represent qualitative change
- Key Features:
- Different default situations
- Different acceptable hypothesis ranges
- Changes in term meanings
3. Three Major Implications
- Truth/Falsity Not External Standards
- Truth exists within systems
- Different systems have different "truths"
- No Objective Measurement Standards
- Cannot compare truth levels across systems
- Nature of Scientific Development
- Not pursuing singular truth
- Rather avoiding anomalies
III. Three Models of Knowledge Systems
1. Paradigm
- Definition: Shared examples determining solvable problems and acceptable answers
- Level: Discourse level
- Feature: From unique to non-unique
- Classic Example: Physics paradigm in early psychology
- Wundt's thought meter
- Galton's dynamometer
- Spearman's neural energy
2. Thought Style
- Three Judgment Mechanisms:
- Figure-ground judgment
- Key-noise judgment
- Particular-universal judgment
- Level: Psychological level
- Feature: Non-unique and plural
- Key Point: Collective nature of thinking
- Classic Examples:
- Fleck's rib case
- Neutrino flow interpretation changes
3. Episteme
- Basic Definition: The "table" where knowledge exists
- Level: Discourse generation level
- Classic Example: Evolution of price determination theory
Conclusion: Incommensurability's Negation of Whig Historiography
- Negates Linearity: Due to incommensurability implying discontinuity
- Negates Progressiveness: Cannot prove closer proximity to truth
- Negates Purposefulness: Scientific development mainly avoids anomalies
Key Implications
- Recognition of knowledge system constraints on thinking
- Understanding discontinuities between different knowledge systems
- Reflection on current knowledge system limitations