El conocimiento de la realidad la explicación científica
Scientific explanation of reality rests on reason organizing existing things into knowledge, split into formal sciences (ideal signs, coherence truth) and empirical sciences (facts, correspondence truth), built from concepts, hypotheses, laws, and theories to describe, explain, predict, and transform the world.
Understanding these distinctions changes how you judge whether a claim is scientifically valid and which kind of evidence actually supports it.
Section summaries
The lecturer opens by recalling the prior session's category of 'being' and states that scientific knowledge requires something existing—material, ideal, or social. Four conclusions are drawn: reality is present and must be explained objectively; reality is a plurality organized by reason; knowledge expresses our relationship with the world; and the constructed world gives life meaning. He emphasizes that through thought we organize materials and problems, becoming aware of reality as structured, and notes humanity seeks understanding to dominate nature. The section closes by framing knowledge as vital for inserting ourselves effectively into the world.
- Scientific knowledge presupposes existing entities (material, ideal, or social).
- Reason organizes reality's diversity into explainable, meaningful structure.
- Humanity pursues knowledge to exert dominion over nature and survive.
Establishes the philosophical baseline for all later distinctions.
The lecturer revisits science as a historical worldview with rationality (theories, concepts, laws, formulas) and pursued objectivity, stronger in practical than formal sciences. Science appears as three things: a body of knowledge explaining reality, a research process producing accepted community knowledge (true until falsified), and a transformative force via technique and technology. The basic classification into formal (ideal) and practical/empirical (objective reality) sciences is introduced, with formal working on non-existent ideal entities like triangles and numbers.
- Science is simultaneously knowledge, research process, and world-changing technology.
- Scientific community accepts produced knowledge as true until replaced by better approaches.
- Formal sciences handle ideal entities (e.g., circle, number 2) absent from nature.
Defines the tripartite nature of science and the formal/empirical split.
Using the Pythagorean theorem and the law of conservation of mass, the lecturer contrasts formal sciences (signs/symbols transformed by rules, true if system unity holds) with empirical sciences (laws like mass conservation true if verified in reality). Formal examples use a²+b²=c² with non-real signs; empirical law states reactant mass equals product mass, verified observationally. He notes both are rational but objectivity as correspondence is clearer in empirical science, and Mario Bunge's 15 traits apply mainly to practical sciences.
- Pythagorean theorem truth depends on internal system coherence, not nature.
- Conservation of mass is true only when observable reality confirms it.
- Bunge's characteristics target practical sciences, not formal ones.
Concrete examples make the abstract truth-criterion split operational.
Practical sciences transcend description to explain via theories open to self-correction; formal sciences use deductive reasoning on ideal signs, while practical sciences need deduction plus experiment. Language differs: formal uses artificial languages with empty symbols (e.g., algebraic x), practical uses natural language with interpreted symbols referring to reality (e.g., H2O = water). The lecturer stresses formal symbols do not represent natural facts, whereas empirical signs point to specific contents.
- Deduction suffices for formal sciences; empirical sciences require experimental verification.
- Algebraic variables are empty symbols; chemical formulas are interpreted symbols.
- Empirical science propositions are revisable with new data.
Explains how expression and method encode each science's object.
Formal sciences are apodictic (facts must happen) with truth-as-coherence inside a system; practical sciences are interpretive (facts can happen) with truth-as-correspondence to phenomena. Demonstration in formal science is deductive; in practical science hypotheses are verified by contrast with facts, allowing support or rejection and requiring complex procedures. The section clarifies that formal truth is internal, empirical truth is external.
- Formal propositions are necessary; empirical propositions are contingent.
- Coherence truth vs correspondence truth is the core epistemic divide.
- Empirical demonstration uses hypothesis testing against observable facts.
Crystallizes the epistemological difference for evaluating claims.
The lecturer distinguishes natural language (follows linguistic syntax, uses words) from artificial language (special codes like mathematical notation or musical notes with own rules). Formal sciences use artificial languages of signs/symbols; empirical use natural languages of words. Examples include commutative law (3×2=2×3) and grammar-based transformations (active/passive, dubitative). Artificial languages follow discipline rules, natural follow syntax norms.
- Math notation and musical scores are artificial languages with internal rules.
- Empirical sciences communicate through natural-language syntax and intentionality.
- Commutative law illustrates formal transformation rules independent of facts.
Useful detail on expression but not central to the explanation thesis.
The lecturer restates coherence for formal (true if mutually coherent, false if rules altered) and correspondence for empirical (true if matching reality). He then introduces science's structure: concepts, hypotheses, laws, theories. A concept alone cannot explain; many are needed. These four are structural but not all explain reality.
- Altering formal rules makes a proposition false; empirical needs factual match.
- Concepts are mental abstractions grasping object aspects, insufficient alone.
- Science structure = concepts, hypotheses, laws, theories.
Bridges truth criteria to the explanatory building blocks.
Hypotheses interpret facts and await experimental demonstration; only demonstrated ones become explanations or laws (universal tested statements). Theories gather and promote knowledge, enabling new hypotheses. Strictly, only laws and theories are scientific explanations of reality; concepts and hypotheses are structural precursors. The lecturer differentiates law's constant relationships from theory's broader generative role.
- Hypothesis becomes law after sufficient experimental testing.
- Theories generate further hypotheses and investigations.
- Concepts and hypotheses do not alone constitute scientific explanation.
Specifies what counts as explanation and the ascent from idea to law.
Four functions are given: describe (features of phenomena), explain (causes/irregularities), predict (under similar conditions), and transform (via true propositions enabling technique/technology to solve problems). The lecturer states this transformative output is the common historical encounter with science, concludes the description of scientific knowledge, and announces the next topic: how scientific knowledge is produced.
- Science describes, explains, predicts, and transformatively intervenes.
- Technology is the everyday form of science's accumulated content.
- Next session will cover production of scientific knowledge.
Completes the functional map and sets up subsequent content.
Key points
- Reality precedes and shapes knowledge — Reality is a given plurality of material and ideal beings, and scientific knowledge is constructed through reason as a relationship between humans and that world. Thought organizes diverse materials and problems into a structured, ordered whole we can act within.
- Two classes of science with different truths — Formal sciences (math, logic) work with ideal entities via artificial language and truth-as-coherence; empirical or practical sciences (physics, biology, sociology) work with observable facts via natural language and truth-as-correspondence. Each uses reason but differs in object, method, and proof.
- Structure of science: only laws and theories explain — Science is built from concepts, hypotheses, laws, and theories, but only laws (universal tested statements) and theories (broad knowledge frameworks) qualify as scientific explanations of reality. Hypotheses must be demonstrated experimentally before becoming explanatory.
- Four functions of scientific knowledge — Scientific knowledge describes features, explains causes, predicts under similar conditions, and transformatively intervenes via technique and technology. The transformative function is the most common historical encounter with science.
“the root of knowledge is essentially a vital root” — lecturer
“formal sciences are those that we say work with things of an ideal order” — lecturer
AI-generated from the transcript. May contain errors.
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