| 1. Domain | 1.1 Scope of the Domain | Boundaries | The range of phenomena the science includes and excludes. | Studies the structure of organic molecules, movement of electrons, and mechanistic pathways of reactions; excludes bulk thermodynamics without mechanistic interpretation. |
| | Scale | The spatial, temporal, or organizational level at which the science operates (e.g., quantum, cellular, social, cosmic). | Operates from atomic/electronic scales (bond orbitals, electron flow) to molecular and supramolecular assemblies relevant to mechanistic pathways and structural reactivity. |
| 1.2 Ontological Commitments | Entities | The kinds of things assumed to exist within the domain (particles, organisms, agents, fields, etc.). | Atoms, functional groups, bonds, electrons, orbitals, intermediates (carbocations, carbanions, radicals), transition states, conformers, reactive sites. |
| | Properties | The fundamental attributes these entities possess (mass, charge, genotype, preference, etc.). | Electronegativity, bond strength, steric hindrance, electron density, polarity, charge distribution, resonance stabilization, orbital energies. |
| | Categories | The basic ontological types used to classify domain elements (substances, processes, relations, structures). | Functional groups, reaction types (substitution, addition, elimination, rearrangements), reactive intermediates, mechanistic steps, stereoelectronic effects. |
| 1.3 State-Variables | Variables | The measurable or definable properties that describe system conditions. | Concentrations, temperature, solvent polarity, substituent parameters, stereochemical configuration, electronic population distributions. |
| | Parameterization | How variables encode and represent the system’s state. | States encoded via reaction-coordinate diagrams, electron-pushing notation, substituent constants (Hammett σ), frontier orbital coefficients, rate expressions. |
| 1.4 Admissible Idealizations | Simplifications | Conceptual reductions used to make the domain tractable (point masses, rational agents, perfect gases). | Arrow-pushing approximations, idealized conformations, isolated-step mechanisms, neglect of minor resonance contributors, simplified orbital pictures, implicit solvent models. |
| | Validity Conditions | The limits and contexts in which idealizations hold or break down. | Hold when orbital interactions dominate behavior, when solvent effects are moderate, when stereoelectronic assumptions apply; break down in highly polar, ionic, or complex environments. |
| 1.5 Domain Assumptions | Structural Assumptions | Background ontological stances such as determinism, continuity, randomness, discreteness. | Organic reactivity governed by electron flow, definable mechanistic steps, consistent patterns of resonance and inductive effects, predictable structure–reactivity relationships. |
| | Implicit Commitments | Unstated but necessary assumptions that shape the field’s conceptual structure. | Assumes meaningful electron-pushing notation, stable conformational sampling, reliable functional-group behavior, and transferable mechanistic logic across systems. |
| 1.6 Internal Coherence Requirements | Consistency | The demand that domain concepts do not contradict one another. | Requires compatibility between structural features, mechanistic steps, orbital interactions, stereoelectronic effects, and observed reactivity trends. |
| | Compatibility | The requirement that entities, variables, and assumptions fit together into a unified descriptive framework. | Demands alignment among electron-flow rules, energetics, kinetics, conformational preferences, and functional-group behavior within a unified mechanistic framework. |
| 2. Evidence Layer | 2.1 Observable Phenomena | Observables | The aspects of the domain that can produce detectable signals accessible to measurement. | Reaction rates, product distributions, stereochemical outcomes, color changes, pH changes, heat release, spectroscopic shifts indicating intermediates or transition-state proximity. |
| | Detection Limits | The boundaries of what can be resolved or sensed by current instruments or methods. | Constrained by ability to detect transient intermediates, low-concentration reactive species, fast reactions, weak absorption bands, or subtle stereochemical differences. |
| 2.2 Measurement Systems | Units | Standardized quantifications (meters, seconds, volts, decibels, dollars, etc.) necessary for consistent comparison. | Molarity, equivalents, temperature (°C/K), rate constants (s⁻¹, M⁻¹ s⁻¹), yields (%), stereomeric ratios, chemical shift (ppm), wavelength (nm), mass (m/z), energy (kJ/mol). |
| | Instruments | Devices and tools (microscopes, spectrometers, sensors, surveys, detectors) used to produce measurements. | NMR, IR, UV-Vis, MS, GC/LC, kinetic probes (stopped-flow), calorimeters, polarimeters, chiral HPLC, isotopic labeling tools, computational modeling programs. |
| 2.3 Operational Definitions | Definitions | Terms defined by specific measurement procedures, ensuring empirical clarity. | Mechanistic steps defined by electron-flow patterns; intermediates defined by spectroscopic signature or trapping; rate constants defined via kinetic fits of concentration–time data. |
| | Procedures | The explicit steps required to perform a measurement in a reproducible way. | Controlled addition, inert-atmosphere techniques, temperature-controlled reactions, standard kinetic runs, spectroscopic monitoring, reproducible workup and quench sequences. |
| 2.4 Data Acquisition | Protocols | Formal processes for gathering data under controlled or standardized conditions. | Sequential time-point sampling, rapid-mix methods, in-situ spectroscopy, isotopic labeling studies, low-temperature trapping, standardized purification and analysis workflows. |
| | Sampling | Rules determining which subset of the domain is measured and how representative it is. | Time-series sampling for kinetics, repeated aliquots, population sampling of stereoisomers, representative conformer sampling in computational studies. |
| 2.5 Data Character & Format | Data Types | The form raw evidence takes (time series, spectra, images, counts, qualitative records). | Spectra (NMR, IR, UV-Vis), mass traces, chromatograms, kinetic curves, stereochemical ratios, energy profiles, computational outputs (orbitals, reaction coordinates). |
| | Resolution | The granularity or precision with which data is captured. | Determined by instrument sensitivity, spectral bandwidth, acquisition rate, chromatographic separation quality, and computational precision for energetics and structures. |
| 2.6 Reliability & Calibration | Calibration | Adjustment procedures ensuring instruments produce accurate results. | NMR reference standards, wavelength calibration for UV-Vis, mass calibration in MS, GC retention calibration, temperature calibration, internal standards for quantitative analysis. |
| | Error Characterization | Identification and quantification of noise, uncertainty, bias, and measurement error. | Quantifying noise, integration error, baseline drift, solvent impurities, reaction-quenching artifacts, isotopic scrambling, and computational approximation uncertainty. |
| 3. Structural Layer | 3.1 Patterns & Regularities | Laws / Relations | Stable, repeatable patterns governing how observables behave across conditions. | Structure–reactivity relationships, Hammond postulate, linear free-energy relationships, orbital symmetry rules (Woodward–Hoffmann), resonance patterns, inductive and hyperconjugative effects. |
| | Invariants | Quantities or properties that remain constant under transformations (symmetries, conservation laws). | Conservation of electron count, valence rules, stereochemical configuration (in the absence of racemization), invariant mechanistic categories (SN1, SN2, E1, E2, addition, rearrangement). |
| 3.2 Causal Architecture | Mechanisms | Underlying processes or structures that produce the observed regularities. | Stepwise electron-flow pathways, bond formation/breaking sequences, rearrangements, nucleophilic/electrophilic attack patterns, radical propagation/cyclization, pericyclic mechanisms. |
| | Pathways | Organized sequences of interactions forming a causal chain or network. | Reaction-coordinate progressions: attack → intermediate → product; radical chain pathways; carbocation cascade sequences; pericyclic orbital-correlation pathways. |
| 3.3 Theoretical Vocabulary | Concepts | Core terms that encode the domain’s structure (force, gene, equilibrium, field). | Nucleophile, electrophile, leaving group, steric effects, resonance, hyperconjugation, transition state, carbocation stability, aromaticity, frontier orbitals, Hammond shift, kinetic vs thermodynamic control. |
| | Classifications | Taxonomies, categories, or typologies that organize entities and relations. | Reaction types (substitution, elimination, addition, rearrangement), reactive intermediates (carbocation, carbanion, radical, carbene, nitrene), stereochemical families (syn/anti, E/Z, R/S). |
| 3.4 Formal Representations | Equations | Mathematical constructs expressing laws, relations, or mechanisms. | Rate laws, Hammett/ρ relationships, Brønsted correlations, Arrhenius relationships, MO symmetry rules, reaction-coordinate diagrams, resonance structures as formal symbolic representations. |
| | Models | Structured representations—mathematical, computational, or conceptual—used to predict and explain phenomena. | Transition-state theory, MO-based reactivity models (HOMO–LUMO), conformational models (Newman, chair/boat), radical chain models, pericyclic orbital-symmetry models, mechanistic energy diagrams. |
| 3.5 Idealized Structures | Simplified Models | Purposeful abstractions that capture essential dynamics while omitting irrelevant detail. | Idealized conformers, isolated-step mechanisms, single-path transition states, planar carbocations, perfect backside SN2 attack geometry, symmetric pericyclic transition states. |
| | Limit Conditions | Regimes where specific models or approximations hold (classical vs. quantum, linear vs. nonlinear). | Break down in strongly solvated conditions, high steric congestion, multi-path reactions, non-classical cations, highly fluxional systems, extreme temperature/pressure regimes. |
| 3.6 Integrative Frameworks | Unifying Theories | Higher-order structures that connect disparate laws or mechanisms under a coherent whole. | Unified electron-flow rules, orbital interaction theory, relationships between kinetics and thermodynamics, pericyclic selection rules, structure-based predictive frameworks. |
| | Interdisciplinary Links | Points where the theory connects to adjacent sciences or larger explanatory systems. | Connects to physical organic chemistry, biochemistry (enzyme mechanisms), materials science (organic electronics), catalysis, polymer chemistry, and organometallic catalysis. |
| 4. Method Layer | 4.1 Inquiry Design | Experimental Design | Structured plans for manipulating variables to test causal claims. | Controlling reagent identity, concentration, solvent, temperature, light, catalysts, and stereochemical constraints to probe mechanistic steps, intermediates, and electron-flow patterns. |
| | Observational Design | Systematic approaches for gathering non-manipulated data (surveys, field studies, natural experiments). | Monitoring spontaneous rearrangements, slow reactions, conformational changes, or decomposition without imposing forced perturbations; watching natural stereochemical evolution. |
| 4.2 Testing & Validation | Hypothesis Testing | Procedures for evaluating whether evidence supports or contradicts specific claims. | Comparing predicted mechanisms, intermediate structures, stereochemical outcomes, rate laws, isotope effects, and substituent effects with experimental data. |
| | Replication | The requirement that results be independently reproducible under similar conditions. | Repeating kinetic runs, spectral measurements (NMR, IR, UV-Vis), chromatographic separations, product-ratio determinations, and isotopic labeling experiments across setups and labs. |
| 4.3 Inference & Evaluation | Statistical Inference | Rules for drawing conclusions from noisy or incomplete data. | Extracting rate constants, kinetic isotope effects, substituent parameters (Hammett), stereochemical ratios, and energy barriers from noisy experimental datasets. |
| | Model Comparison | Criteria (fit, simplicity, predictive accuracy, robustness) used to evaluate competing models. | Evaluating competing mechanisms, orbital-interaction models, conformational models, kinetic schemes, or computational predictions based on accuracy, parsimony, and predictive power. |
| 4.4 Error Management | Error Analysis | Identification and quantification of random and systematic errors. | Quantifying integration error, baseline drift, solvent impurities, side-reaction interference, sample decomposition, isotopic scrambling, and uncertainty in stereochemical assignments. |
| | Bias Control | Methods for minimizing subjective, instrumental, or procedural biases. | Ensuring inert-atmosphere consistency, randomizing sampling sequences, standardizing quench/workup times, preventing operator bias in spectral interpretation and product identification. |
| 4.5 Adjudication & Revision | Peer Scrutiny | Collective evaluation of claims through critique, review, and debate. | Independent evaluation of mechanistic proposals, kinetic fits, stereochemical analyses, isotope-effect interpretations, and computational mechanisms. |
| | Theory Revision | Procedures for modifying, replacing, or discarding models based on new evidence. | Updating mechanistic steps, revising transition-state models, modifying substituent-effect frameworks, or reinterpreting electron-flow diagrams when new results contradict prior understanding. |
| 4.6 Integrity Conditions | Transparency | Requirements to disclose methods, data, assumptions, and limitations. | Reporting full experimental conditions, purification steps, solvent details, calibration procedures, computational assumptions, and all mechanistic rationales used. |
| | Ethical Standards | Norms ensuring responsible conduct in experimentation, data handling, and publication. | Ensuring honest reporting of yields, mechanistic uncertainties, stereochemical ratios, avoiding selective omission of failed experiments, and maintaining full reproducibility. |