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Contextualism and Knowledge Attributions

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Epistemic ContextualismWhat Is Knowledge?→→Contextualism as Indexicalism in EpistemologyThe Relevant Alternatives Theory
contextualism content context-sensitivity knowledge

Core Idea

Contextualism in epistemology argues that the content of 'knowledge' attributions varies with conversational context—standards for knowledge are higher in philosophical contexts than in everyday contexts, or when stakes are high versus low. This explains why we confidently assert knowledge claims in normal circumstances but seem to embrace skepticism in philosophical discussion. Contextualism preserves both our ordinary knowledge claims and the challenges raised by skeptical scenarios.

How It's Best Learned

Examine how knowledge-attributions change with conversational context: high standards in philosophical discussion, lower in everyday conversation. Analyze specific cases and consider whether this explains skeptical intuitions.

Common Misconceptions

Explainer

You already have a foundation in contextualism in epistemology — the view that what counts as knowledge depends partly on context. Now we go deeper into the semantic mechanism: what exactly changes with context, and how does the variability work? The core claim is that "knows" is a context-sensitive expression whose content — what it actually means — shifts depending on the conversational situation in which it is used.

Consider two conversations. In the first, you're chatting with a friend: "Does Sarah know the bank is open on Saturdays?" Your friend says yes — Sarah checked recently. In the second, a large sum of money is at stake: "Does Sarah *really* know the bank is open?" Suddenly, her recent check might not be enough; she should call to confirm. According to contextualism, the word "knows" doesn't express the same concept in both conversations. In the low-stakes context, "knows" sets a relatively undemanding standard; in the high-stakes context, it sets a more demanding one. Both speakers are using the word correctly — they're just using it in contexts that set different standards.

This is the content-sensitivity thesis: the very *content* of the knowledge claim — what proposition it expresses — varies with context. This distinguishes contextualism from the simpler view that "knows" always means the same thing but that people apply it loosely in ordinary life. On the contextualist view, there is no loose application — in a low-standards context, "Sarah knows the bank is open" is *literally true*; in a high-standards context, it may be *literally false*. The standards built into the context are part of the semantic content of the sentence.

Why does this matter? It offers a solution to a persistent puzzle: the skeptical problem. In a philosophy seminar, when you entertain skeptical hypotheses (you might be a brain in a vat; your memories might be unreliable), you seem forced to say that you don't know much of anything. But in daily life, you know all kinds of things. Contextualism says both intuitions are correct — in different contexts. The skeptic raises the epistemic standards to an extreme level, making ordinary knowledge attributions false in that context. But this doesn't destabilize your ordinary knowledge claims, which are made and evaluated at normal, lower standards. The content of "know" in the seminar is simply different from its content at the breakfast table. Contextualism thus defuses skepticism without having to refute the skeptical arguments directly.

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Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Soundness Theorem and Validity of Proof Systems → Deductive Reasoning and Formal Proof Systems → First-Order Resolution → Propositional Resolution → Semantic Tableaux (Propositional) → Semantic Tableaux (First-Order) → Decidable Fragments of First-Order Logic → Gödel's Completeness Theorem for First-Order Logic → Gödel's Incompleteness Theorems → Introduction to Intuitionistic Logic → Introduction to Modal Logic → A Priori and A Posteriori Knowledge → Rationalism vs. Empiricism → Foundationalism → Responses to External World Skepticism → Epistemic Contextualism → Contextualism and Knowledge Attributions

Longest path: 103 steps · 542 total prerequisite topics

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