| 1. Domain | 1.1 Scope of the Domain | Boundaries | The range of phenomena the science includes and excludes. | Studies human origins, hominin evolution, primate comparison, and biological variation shaped by ecological and cultural pressures. Includes fossil lineages, skeletal morphology, paleoenvironments, primate behavior, human variation, adaptation, and evolutionary genetics. Excludes purely cultural explanations unless integrated with biocultural models; excludes modern human social behavior unless relevant to evolutionary inference. |
| | Scale | The spatial, temporal, or organizational level at which the science operates (e.g., quantum, cellular, social, cosmic). | Operates across deep evolutionary timescales (millions of years), continental spatial scales, and biological organizational scales from genes to populations to species. |
| 1.2 Ontological Commitments | Entities | The kinds of things assumed to exist within the domain (particles, organisms, agents, fields, etc.). | Hominins, primates, populations, fossils, bones, genomes, phenotypes, ecological niches, selection pressures, migration pathways, cultural traits affecting fitness, paleoenvironments. |
| | Properties | The fundamental attributes these entities possess (mass, charge, genotype, preference, etc.). | Morphology; genetic variation; fitness; life-history traits; locomotion; diet; tool use; ecological adaptation; cranial capacity; behavioral repertoires; phenotypic plasticity; population structure; reproductive success metrics. |
| | Categories | The basic ontological types used to classify domain elements (substances, processes, relations, structures). | Fossil species; anatomical regions; genetic markers; ecological zones; behavioral categories (foraging strategies, mating systems); adaptation types (physiological, anatomical, behavioral); cultural technologies that modify selection. |
| 1.3 State-Variables | Variables | The measurable or definable properties that describe system conditions. | Allele frequencies; morphological measurements; isotope signatures; artifact counts; paleoclimate indicators; population sizes; migration rates; selection coefficients; sexual-dimorphism ratios; cranial/mandibular indices; mobility patterns. |
| | Parameterization | How variables encode and represent the system’s state. | Encoded through morphometric datasets, genomic variation profiles, isotopic ratios, stratigraphic context, phylogenetic branching patterns, environmental reconstructions, GIS mapping of fossils, radiometric dates, and behavioral proxies (tool assemblages, wear patterns). |
| 1.4 Admissible Idealizations | Simplifications | Conceptual reductions used to make the domain tractable (point masses, rational agents, perfect gases). | Treating species boundaries as discrete; assuming linear evolutionary progression; simplifying population structure; modeling selection as stable over time; using representative fossils for whole populations; treating cultural traits as static signals; ignoring gene–culture coevolution complexities. |
| | Validity Conditions | The limits and contexts in which idealizations hold or break down. | Break down with incomplete fossil records; rapid environmental change; hybridization between hominin groups; strong genetic drift; mosaic evolution; plastic responses misinterpreted as genetic; cultural innovations rapidly changing selective contexts. |
| 1.5 Domain Assumptions | Structural Assumptions | Background ontological stances such as determinism, continuity, randomness, discreteness. | Evolution occurs through natural selection, drift, mutation, migration, and gene–culture interaction; fossils reflect biological ancestry; skeletal morphology encodes adaptive history; primate comparisons illuminate ancestral traits; ecological pressures drive change; behavioral evidence is inferable from material residues. |
| | Implicit Commitments | Unstated but necessary assumptions that shape the field’s conceptual structure. | Assumes fossils and artifacts are representative; assumes current primates provide valid analogs; assumes genetic patterns reflect historical processes; assumes reconstructable paleoenvironmental conditions; assumes morphology reliably reflects function and adaptation. |
| 1.6 Internal Coherence Requirements | Consistency | The demand that domain concepts do not contradict one another. | Morphological, genetic, archaeological, and environmental evidence must align; phylogenies must not contradict fossil chronology; migration models must match genetic patterns; behavioral inferences must align with ecological constraints; adaptive explanations must be compatible with observed morphology. |
| | Compatibility | The requirement that entities, variables, and assumptions fit together into a unified descriptive framework. | Requires coherence among paleontology, evolutionary biology, genetics, primatology, archaeology, paleoecology, and biocultural theory. Models of evolution must integrate with environmental reconstructions and cultural innovations without contradiction. |
| 2. Evidence Layer | 2.1 Observable Phenomena | Observables | The aspects of the domain that can produce detectable signals accessible to measurement. | Fossil morphology; skeletal pathologies; tool assemblages; cut marks; locomotor traces; isotope signatures; hearths and habitation residues; genetic variation patterns; craniofacial metrics; limb proportions; developmental markers; geographic distribution of fossils; primate behavioral analogs; signs of dietary transition or ecological adaptation. |
| | Detection Limits | The boundaries of what can be resolved or sensed by current instruments or methods. | Incomplete fossil record; taphonomic distortion; fragmentary remains; DNA degradation beyond time thresholds; uncertain dating resolution; ambiguous behavioral residues; equifinality in tool-use interpretation; inability to observe soft tissue or behavior directly; environmental noise masking true selective pressures. |
| 2.2 Measurement Systems | Units | Standardized quantifications (meters, seconds, volts, decibels, dollars, etc.) necessary for consistent comparison. | Millimeters (morphology), ratios (indices), stable isotope δ¹³C/δ¹⁵N values, radiometric ages (ka/Ma), allele frequencies (%), population divergence times (kya), wear-pattern frequencies, artifact typology counts, cranial capacity (cc), biomechanical force estimates. |
| | Instruments | Devices and tools (microscopes, spectrometers, sensors, surveys, detectors) used to produce measurements. | Calipers, 3D scanners, CT/MRI imaging, mass spectrometers, radiocarbon/argon dating systems, DNA sequencers, GIS mapping tools, comparative primate ethology datasets, wear-pattern microscopes, lithic-use-wear labs, paleoenvironmental coring equipment. |
| 2.3 Operational Definitions | Definitions | Terms defined by specific measurement procedures, ensuring empirical clarity. | Species defined by morphological and genetic coherence; behavioral proxies defined via tool-use residues; diet defined via isotope ratios; locomotion inferred via joint morphology; phylogenetic relationships defined through shared derived traits; demographic history inferred from allele-frequency spectra; environmental context defined via stratigraphy and paleoecological indicators. |
| | Procedures | The explicit steps required to perform a measurement in a reproducible way. | Measuring morphological features; scanning fossils; sequencing ancient DNA; conducting radiometric dating; performing stable-isotope analysis; mapping fossil positions stratigraphically; statistically reconstructing phylogenies; modeling population genetics; classifying artifacts; inferring environment from pollen/soil cores. |
| 2.4 Data Acquisition | Protocols | Formal processes for gathering data under controlled or standardized conditions. | Standardized excavation procedures; controlled stratigraphic recording; contamination-avoidance protocols for ancient DNA; sample-collection procedures for isotopes; systematic primate behavioral observation; regional fossil-survey transects; environmental coring grids; field lab documentation. |
| | Sampling | Rules determining which subset of the domain is measured and how representative it is. | Sampling fossil sites across geographic ranges; sampling individuals within species; sampling skeletal elements; sampling sediment layers; random sampling of primate social groups; sampling ancient DNA from multiple bone/tooth types; stratified sampling across ecological zones. |
| 2.5 Data Character & Format | Data Types | The form raw evidence takes (time series, spectra, images, counts, qualitative records). | Morphometric datasets; 3D reconstructions; radiometric age tables; isotope signatures; genetic sequences; allele-frequency spectra; phylogenetic matrices; artifact typology catalogs; paleoenvironmental time-series; GIS spatial fossil maps. |
| | Resolution | The granularity or precision with which data is captured. | Determined by preservation quality, imaging resolution, sequencing depth, isotopic precision, radiometric error margins, fossil abundance, stratigraphic clarity, and temporal spacing between fossil horizons. |
| 2.6 Reliability & Calibration | Calibration | Adjustment procedures ensuring instruments produce accurate results. | Cross-validating radiometric ages with stratigraphy; comparing morphometric measures across labs; calibrating isotope readings using modern-fauna baselines; validating genetic sequences through replication; rechecking phylogenetic models using alternative trait sets; verifying excavation provenience; testing tool-wear interpretations with experimental archaeology. |
| | Error Characterization | Identification and quantification of noise, uncertainty, bias, and measurement error. | Dating error; morphological distortion; contamination in ancient DNA; misclassification of species; equifinality in behavioral inference; environmental noise in isotope signals; sampling bias toward well-preserved sites; incomplete recovery of skeletal elements; analytical noise in sequencing/imaging. |
| 3. Structural Layer | 3.1 Patterns & Regularities | Laws / Relations | Stable, repeatable patterns governing how observables behave across conditions. | Adaptive morphological trends (bipedalism, encephalization); correlations between climate variation and hominin dispersal; recurrent cranial–dental covariation; life-history tradeoffs; predictable genetic drift signals; bottleneck signatures; recurring tool-technology transitions associated with ecological niches; convergent evolution in primates facing similar pressures. |
| | Invariants | Quantities or properties that remain constant under transformations (symmetries, conservation laws). | Shared derived traits in hominin lineages; conserved developmental gene networks; biomechanical constraints on locomotion; limits on cranial vault variation; stable isotope signatures tied to specific diets; deep homology in primate social organization; hierarchical phylogenetic branching patterns. |
| 3.2 Causal Architecture | Mechanisms | Underlying processes or structures that produce the observed regularities. | Natural selection shaping anatomy/behavior; drift producing neutral variation; gene flow adjusting population structure; mutation generating novelty; niche construction modifying selective pressures; cultural innovations altering evolutionary trajectories; developmental constraints shaping phenotype; climate forcing ecological and behavioral adaptation. |
| | Pathways | Organized sequences of interactions forming a causal chain or network. | Environmental shift → adaptive pressure → morphological/behavioral change; Migration event → gene flow → altered allele frequencies; Cultural innovation (tools, fire) → dietary shift → anatomical modifications; Social complexity → cooperative behavior → life-history evolution; Climatic volatility → dispersal → divergence/speciation; Locomotor demands → pelvic/limb restructuring. |
| 3.3 Theoretical Vocabulary | Concepts | Core terms that encode the domain’s structure (force, gene, equilibrium, field). | Adaptation, fitness, selection, drift, mutation, gene flow, phylogeny, hominin, mosaic evolution, phenotypic plasticity, niche construction, sexual selection, encephalization, allometry, bipedalism, paleoenvironment, archaeological proxy, gene–culture coevolution. |
| | Classifications | Taxonomies, categories, or typologies that organize entities and relations. | Hominin species groups; fossil morphotypes; stone-tool traditions (Oldowan, Acheulean, Mousterian); subsistence strategies (foraging, scavenging, mixed diets); primate social-system types; adaptation categories (locomotion, diet, thermoregulation); genetic haplogroups; limb-proportion clusters. |
| 3.4 Formal Representations | Equations | Mathematical constructs expressing laws, relations, or mechanisms. | Population-genetic models (Hardy–Weinberg, Wright–Fisher, coalescent); selection-coefficient formulas; allometric scaling equations; biomechanical force models; phylogenetic likelihood equations; isotopic fractionation calculations; demographic divergence/time-to-MRCA models; evolutionary-rate equations. |
| | Models | Structured representations—mathematical, computational, or conceptual—used to predict and explain phenomena. | Phylogenetic trees; PCA morphometric maps; agent-based evolutionary simulations; paleoenvironmental climate–adaptation models; population-range expansion models; archaeological assemblage classifiers; locomotor energetics models; gene–culture coevolution simulations. |
| 3.5 Idealized Structures | Simplified Models | Purposeful abstractions that capture essential dynamics while omitting irrelevant detail. | Linear evolutionary trajectories; discrete species boundaries; homogeneous populations; constant rates of mutation/selection; static environmental assumptions; ignoring cultural–biological feedback; perfect fossil preservation; oversimplified branching without reticulation or hybridization. |
| | Limit Conditions | Regimes where specific models or approximations hold (classical vs. quantum, linear vs. nonlinear). | Fail under hybridization and introgression; rapid climate oscillations; mosaic evolutionary patterns; cultural feedback altering selection; population crashes; incomplete fossil records; nonlinear selective regimes; deep subpopulation diversity; preservation bias; multi-regional ecological variation. |
| 3.6 Integrative Frameworks | Unifying Theories | Higher-order structures that connect disparate laws or mechanisms under a coherent whole. | Modern evolutionary synthesis linking genetics, morphology, and ecology; gene–culture coevolution integrating biological and cultural adaptation; phylogenetic systematics unifying fossil and genetic evidence; life-history theory linking growth, reproduction, and survival; biocultural frameworks integrating ecological, technological, and behavioral evolution. |
| | Interdisciplinary Links | Points where the theory connects to adjacent sciences or larger explanatory systems. | Genetics, archaeology, geology, climatology, primatology, biomechanics, nutrition science, cognitive evolution, paleoecology. |
| 4. Method Layer | 4.1 Inquiry Design | Experimental Design | Structured plans for manipulating variables to test causal claims. | Experimental archaeology (replicating tool production/use); controlled wear-pattern experiments; primate behavioral experiments to test hypotheses about ancestral behavior; biomechanical locomotion modeling using force plates and motion-capture; dietary reconstruction experiments using controlled digestion/wear tests; environmental simulations of hominin habitats. |
| | Observational Design | Systematic approaches for gathering non-manipulated data (surveys, field studies, natural experiments). | Excavation and stratigraphic observation; long-term primate field studies; natural experiments created by environmental shifts; observing behavioral ecology in extant primates as analogs; documenting natural variation in skeletons/genomes; paleoenvironmental core sampling; comparative fossil morphology surveys. |
| 4.2 Testing & Validation | Hypothesis Testing | Procedures for evaluating whether evidence supports or contradicts specific claims. | Testing adaptive hypotheses via morphology–function correlations; validating phylogenies with independent trait or genetic datasets; testing diet via isotopic consistency; evaluating migration models against genetic-distance matrices; testing niche-construction predictions; validating tool-use interpretations with experimental archaeology; testing life-history models using primate comparative datasets. |
| | Replication | The requirement that results be independently reproducible under similar conditions. | Re-measuring fossil morphometrics across labs; replicating isotope analyses; re-running genetic-sequencing pipelines; repeating wear-pattern experiments; replicating phylogenetic models with alternative trait sets; reconstructing environmental proxies using different cores; repeating stratigraphic interpretations with independent teams. |
| 4.3 Inference & Evaluation | Statistical Inference | Rules for drawing conclusions from noisy or incomplete data. | Estimating divergence times; reconstructing population structure; performing morphometric PCA/cluster analyses; deriving phylogenetic likelihoods; running coalescent simulations; modeling selection coefficients; evaluating adaptive vs neutral hypotheses; fitting dispersal models with Bayesian or likelihood frameworks. |
| | Model Comparison | Criteria (fit, simplicity, predictive accuracy, robustness) used to evaluate competing models. | Comparing phylogenetic trees across methods (maximum likelihood, Bayesian, parsimony); contrasting neutral vs adaptive evolutionary models; evaluating alternative migration scenarios; comparing biomechanical locomotion models; contrasting tool-use interpretations; comparing dietary reconstructions from isotopes vs microwear. |
| 4.4 Error Management | Error Analysis | Identification and quantification of random and systematic errors. | Identifying dating-range uncertainties; correcting for taphonomic deformation; distinguishing genetic contamination; quantifying interobserver measurement error; detecting equifinality in behavioral inference; modeling uncertainty distributions in radiometric ages; accounting for sequencing noise or dropout in ancient DNA. |
| | Bias Control | Methods for minimizing subjective, instrumental, or procedural biases. | Blind morphometric measurement protocols; contamination-avoidance in DNA labs; cross-team verification of fossil identifications; standardized coding of lithic types; stratified sampling of excavation contexts; controlling for preservation bias; using independent reference collections. |
| 4.5 Adjudication & Revision | Peer Scrutiny | Collective evaluation of claims through critique, review, and debate. | Reassessing species classifications; reevaluating phylogenies with new fossils; auditing genetic pipelines; challenging adaptive claims with neutral models; revisiting migration routes when new evidence emerges; cross-checking isotopic interpretations; reinterpreting archaeological layers with improved stratigraphy. |
| | Theory Revision | Procedures for modifying, replacing, or discarding models based on new evidence. | Updating phylogenetic placements with new fossils/genomes; revising models of bipedalism or encephalization; incorporating new evidence for hybridization or introgression; modifying niche-construction and cultural-evolution frameworks; recalibrating divergence times; revising adaptive hypotheses as environmental reconstructions change. |
| 4.6 Integrity Conditions | Transparency | Requirements to disclose methods, data, assumptions, and limitations. | Disclosing excavation context, measurement methods, sequencing protocols, contamination controls, sample provenance, statistical models, and calibration choices; providing open-access datasets and 3D scans; reporting uncertainty explicitly. |
| | Ethical Standards | Norms ensuring responsible conduct in experimentation, data handling, and publication. | Respectful treatment of human remains; community consultation for fossil recovery; compliance with international antiquities laws; avoiding exploitation of primate field sites; transparent handling of culturally sensitive data; avoiding overstated claims with limited fossil evidence. |