For Hegel, science’s appearance is a subjective cognition whose aim is liberty
Evidence
For Hegel, this syllogism marks the appearance (Erscheinung) of science as a ‘subjective cognition (connaissance) of which liberty is the aim, and which is itself the way to produce it’. Its correlative is the intellectual position reached by the philosopher who, having arrived at the end of his process of formation, now experiences the sheer liberty of thinking for himself. — Catherine Malabou, The Future of Hegel, 978
For Hegel, this syllogism marks the appearance (Erscheinung) of science as a ‘subjective cognition (connaissance) of which liberty is the aim, and which is itself the way to produce it’. Its correlative is the intellectual position reached by the philosopher who, having arrived at the end of his process of formation, now experiences the sheer liberty of thinking for himself. — Catherine Malabou, The Future of Hegel, 978
Categorization
- DEFINE: Defines the syllogism’s appearance of science as subjective cognition with liberty as both aim and means — core plasticity concept.
- XREF: Connects to the reader’s stated project of tracing plasticity as the theoretical root of brain/mind work — the ‘sheer liberty of thinking’ echoes autopoiesis and self-formation. — connects to: Hegel’s ontology of consciousness remains framed entirely in terms of knowledge.; Hegelian appearance is always being-for-another in dual temporal and supersensible senses — Catherine Malabou, The Future of Hegel: Plasticity,…, 878; Exact science’s faith that things resemble themselves courts pataphysics — Jean Baudrillard, Simulacra and Simulation, 361 (+1 more)
- corroborated: 2 independent passages support this claim — Catherine Malabou, The Future of Hegel: Plasticity,…, 978
Broader Connections
- Hegelian appearance is always being-for-another in dual temporal and supersensible senses
#expands(0.82) — Catherine Malabou, The Future of Hegel, 878 - Exact science’s faith that things resemble themselves courts pataphysics
#responds-to(0.75) — Jean Baudrillard, Simulacra and Simulation, 361