The accepted ontology
Browse accepted Systema Constructum entries: human-made tools, institutions, methods, practices, works, and their definitions.
100 entries in this page
An area chart is a data visualization that displays quantitative information as filled regions between a plotted line and an axis, where the filled area encodes magnitude. It extends the line chart by filling the space below the line, enabling part-to-whole a…
A bar chart is a visual representation of data using rectangular bars whose lengths are proportional to the values they represent. It maps categorical or discrete data onto a coordinate system with axes, rendering quantities as linear extents along one dimens…
A refactoring is a disciplined technique for improving the internal structure of existing code without changing its external, observable behavior. It consists of a sequence of small, behavior-preserving transformations — each refactoring modifies a limited po…
A donut chart is a circular data visualization that encodes part-to-whole proportions as angular segments of an annular ring, with a hollow center that can display a summary value or label. The parameter is the number of categories (minimum two), each mapped…
A pie chart is a circular data visualization divided into slices, where each slice represents a category's proportion of a whole, with the slice angle proportional to its value (angle = category value / total value × 360°). The total of all slices sums to 100…
A clothing brand is a human-made commercial construct consisting of a distinctive name, logo, design language, and associated identity applied to garments and accessories, used to signal quality tier, style aesthetic, and brand loyalty in the marketplace. It…
A dashboard is a human-made interface construct that consolidates multiple data displays, controls, and indicators into a single organized screen layout, enabling real-time monitoring, comparison, and decision-making. Parameters: (1) a unified visual containe…
A small multiples visualization presents a series of small, identical graphs or charts — each using the same scale, axes, and visual encoding — arranged in a grid or sequence, each displaying a different subset, slice, or condition of the data. This technique…
A proposition is a human-made abstract entity in logic and language: the declarative content expressed by a sentence, capable of being true or false. It is the bearer of truth-value, the unit of assertion in reasoning and argument. A proposition is not the se…
A ground-truth is a human-made standard or reference dataset, measurement, or annotation established by expert consensus, direct observation, or authoritative measurement as the correct answer against which other methods, models, or observations are evaluated…
A parallel coordinates plot is a data visualization technique that represents multivariate data by displaying each variable on its own vertical axis, with all axes arranged horizontally and data points connected by lines across axes to reveal multivariate pat…
A choropleth is a thematic map in which geographic regions are shaded, patterned, or colored according to the statistical value of a variable they contain. The regions — administrative boundaries such as countries, states, or census tracts — are partitioned b…
Visualization is the human-made practice of representing information, data, or abstract concepts in a perceptible form — using visual elements such as color, shape, size, and spatial arrangement to encode meaning and make patterns accessible to perception. It…
A contour plot is a two-dimensional visualization that represents three-dimensional data by drawing contour lines (isolines) — curves connecting points of equal value — across a coordinate plane. Each line encodes a specific scalar value; the spacing between…
Data visualization is the human-made practice of representing abstract data, information, and measurements in visual form — charts, graphs, maps, dashboards — to make patterns, trends, and outliers perceptible to human perception and cognition. The persistenc…
A heatmap is a data visualization construct in which individual cells of a grid or spatial layout are colored proportionally to the quantitative value they represent. Parameters: (1) the data must be arranged in a two-dimensional matrix or grid structure, (2)…
A line chart is a graphical representation that plots ordered data points along a coordinate axis and connects them with line segments to reveal trends, patterns, and changes across a continuous dimension, typically time. The persistence mechanism is visual r…
A scatter plot is a graph that displays individual data points on a two-dimensional Cartesian coordinate system, where each point's horizontal and vertical position encodes the values of two variables for that observation. The parameters: (1) a paired set of…
Graph theory is the branch of mathematics studying graphs as structures of vertices connected by edges, including their properties, algorithms for traversing and analyzing them, and their applications to modeling relationships between objects. It persists thr…
An isarithm is a human-made cartographic construct: a continuous line drawn on a map or chart that connects points sharing the same measured value of a quantitative variable (e.g., temperature, atmospheric pressure, elevation, salinity). The parameters that d…
A box plot (also called a box-and-whisker plot) is a human-made statistical diagram that summarizes the distribution of a dataset through five key values: the minimum, the first quartile (Q1), the median (Q2), the third quartile (Q3), and the maximum. It disp…
A cartogram is a thematic map in which geographic units (countries, regions, districts) are resized proportionally to a chosen statistical variable, transforming spatial relationships to encode quantitative data through area distortion rather than geographic…
Logarithm is the human-made mathematical concept that assigns to each positive real number x the exponent to which a chosen base b must be raised to produce x. Its parameters are: (1) a base b > 0, b ≠ 1; (2) an argument x > 0; (3) the unique value y such tha…
Geodesy is the human-made scientific discipline that measures and models the Earth's geometric shape, spatial orientation, and gravitational field. Its parameters are: (1) reference ellipsoid or geoid as the mathematical model of Earth's figure, (2) geodetic…
A surveying-instrument is a human-made device calibrated to acquire precise spatial measurements — angular positions, distances, elevations, or coordinates — in the physical world. Its parameters are: (1) a sensing element (scale, telescope, reticle, or elect…
Surveying is a human-made systematic practice of measuring and mapping physical space. Its parameters are: (1) observable targets (markers, landmarks, instrument stations), (2) measurable quantities (angles, distances, elevations, coordinates), (3) instrument…
A theodolite is a human-made precision optical instrument designed to measure horizontal and vertical angles with high accuracy. Its parameters are: the telescope assembly (collimator, objective lens, eyepiece with crosshairs), the horizontal circle (azimuth…
A slide rule is a manually operated calculating instrument composed of graduated rulers that slide relative to one another, where logarithmic scale alignments translate multiplication, division, powers, roots, and trigonometric operations into linear distance…
Nomography is the craft of designing nomograms — graphical calculating devices that represent mathematical relationships between variables through graduated scales arranged so that a straightedge, connector, or other alignment reveals the solution. A nomogram…
An angle is a human-made quantitative concept that measures the amount of rotation between two intersecting lines, rays, or planes in a geometric figure. Its parameters are: the vertex (point of intersection), the two arms (rays or line segments), and the uni…
A flowchart is a human-made diagrammatic notation that represents a process, workflow, or algorithm as a sequence of steps connected by directional arrows and geometric symbols (rectangles for actions, diamonds for decisions, ovals for start/end points). It o…
A histogram is a graphical representation that organizes a group of data points into user-specified ranges (bins), displaying the frequency or count of data falling within each bin as adjacent bars. Its parameters are: the dataset to be represented, the bin b…
A protractor is a human-made measuring instrument designed to determine, draw, or reproduce angles. It operates as a physical template — a rigid or transparent disc or semicircle graduated in angular units (typically degrees or gradians) — that a user aligns…
A scorecard is a structured evaluation instrument that records performance metrics, quality indicators, or behavioral criteria in a standardized format. It operates by providing predefined categories and rating scales that assessors apply consistently, enabli…
A liminal space is a human-made category of transitional spaces — physical places, social situations, or psychological states — that exist between established phases or identities and lack the defining features of either preceding or succeeding states. Parame…
A diagram is a human-made visual representation that uses marks, lines, symbols, and spatial arrangements to convey structural, relational, or procedural information about a subject. Unlike a picture that depicts appearance, a diagram abstracts away visual de…
A human-made reference document that condenses essential information, procedures, or data into a compact, quickly scannable format for rapid lookup. Parameters: (1) the content must be organized for speed of access (alphabetical, indexed, tabular, or procedur…
A gauge is a device or procedure for measuring, verifying, or indicating a physical quantity, dimension, or condition. It operates by comparing an unknown value against a known reference or scale, converting a measurable property (length, pressure, temperatur…
An interpolation method is a human-made procedure that estimates unknown values within the range of a discrete set of known data points. The method operates by fitting a function (polynomial, trigonometric, or piecewise) through the known points and evaluatin…
A decision cascade is a structured pattern of sequential decision-making in which an initial choice automatically triggers a predetermined sequence of follow-on decisions, each executing without independent re-evaluation. The mechanism employs three parameter…
A vernier caliper is a precision measuring instrument that uses a sliding vernier scale alongside a main graduated scale to read dimensions with accuracy beyond the main scale's least division. It comprises a main beam with fixed jaws and a sliding jaw assemb…
A nomogram is a graphical calculating device consisting of a set of parallel scales, each representing a variable in an equation, arranged so that a straight line drawn across known values on two or more scales intersects the solution on the remaining scale(s…
A person or group holding a legitimate interest in, or affected by, the outcome of a specific project, organization, decision, or system. Parameters: (1) the stakeholder must have a defined interest — financial, moral, legal, operational, or reputational; (2)…
A prologue is a structural element of a literary or dramatic work — an introductory section placed before the main narrative or text. It functions as a narrative frame that provides context, background, or a preliminary perspective distinct from the main body…
A micrometer is a precision measuring instrument that converts rotational motion of a calibrated screw into linear displacement, enabling measurement of small dimensions with high accuracy. It consists of a C-shaped frame, an anvil and spindle separated by a…
A numerical-method is a human-made procedure for solving mathematical problems through numerical approximation rather than exact symbolic computation. It operates on discretized representations of continuous problems, trading analytical precision for computat…
Metric is a human-made standardized measure for quantifying a specific property of an object, system, or process. Parameters: (1) a property to be measured, (2) a formula or procedure for quantification, (3) a scale or unit of measurement, (4) a calibration s…
Change-management is a human-made management practice for guiding individuals and organizations through transitions from a current state to a desired future state. Parameters: (1) identification of needed change and its drivers, (2) assessment of current stat…
Network effect is a human-made economic and social concept describing the phenomenon where a product or service becomes more valuable to each user as the total number of users increases. Parameters: (1) a network of interconnected users or participants, (2) a…
Regularization is a human-made machine learning and statistical technique that constrains model complexity by adding a penalty term to the loss function, thereby reducing the risk of overfitting and improving generalization to unseen data. Parameters: (1) a m…
Overfitting is a human-made statistical and machine learning concept describing the failure mode where a model with sufficient capacity memorizes noise, outliers, or idiosyncrasies in training data rather than learning the underlying generalizable pattern. Pa…
Numerical analysis is a human-made mathematical discipline for constructing, analyzing, and implementing algorithms that approximate solutions to continuous mathematical problems using discrete numerical computation. Parameters: (1) a continuous mathematical…
Estimation is a human-made procedure for determining approximate values when exact calculation or measurement is impossible, impractical, or unnecessary. Parameters: (1) a target quantity that is unknown or difficult to determine exactly, (2) available partia…
Extrapolation is a mathematical estimation procedure that predicts unknown values outside the range of a discrete set of known data points. Parameters: (1) known data points with a defined range [min, max], (2) a model or function fitted to those points, (3)…
Publication-bias is a systematic distortion in scholarly communication where studies reporting statistically significant or positive results are preferentially published over studies with null, negative, or inconclusive findings. Parameters: (1) operates acro…
Stratification is a statistical sampling method that divides a population into mutually exclusive, internally homogeneous subgroups called strata, then independently samples from each stratum. Parameters: (1) strata must be exhaustive and non-overlapping, (2)…
Interpolation is a mathematical procedure for estimating unknown values that fall within the range of a discrete set of known data points. It operates by constructing a function (typically a polynomial, spline, or linear segment) that passes through or near t…
A false-negative is a diagnostic or classification error in which a test or signal wrongly indicates the absence of a condition, property, or threat when it is actually present. The test output is negative (indicating absence) while the ground truth is positi…
A false-positive is a diagnostic or classification error in which a test or signal wrongly indicates the presence of a condition, property, or threat when it is actually absent. The test output is positive (indicating presence) while the ground truth is negat…
A decision tree is a graphical decision-support tool that represents choices, uncertain events, and outcomes in a hierarchical branching structure. Each node represents a decision point (square) or a chance event (circle), and each branch represents a possibl…
A pre-mortem is a prospective hindsight exercise in which decision-makers imagine that a planned project or initiative has already failed, then work backward from that imagined failure to identify plausible causes and contributing factors. The technique, deve…
Type-ii-error is the statistical error of failing to reject a null hypothesis when it is actually false — a false negative. Its parameters are: (1) the false null hypothesis (the state of nature contradicts H₀), (2) the test statistic and its sampling distrib…
Significance-testing is a statistical practice in which observed data are evaluated against a null hypothesis to determine whether the evidence is sufficient to reject the null at a pre-specified alpha level. Its parameters are: (1) a null hypothesis stating…
P-hacking is a human-made research practice in which analysts exploit flexibility in data analysis — trying multiple statistical models, subgroups, outlier exclusions, or variable transformations — selectively reporting only those results that achieve statist…
Multiple-comparisons is a statistical situation that arises when hypothesis tests are conducted on more than one hypothesis simultaneously, causing the probability of at least one Type I error to exceed the nominal per-test significance level. Its parameters…
A blind-study is an experimental protocol in which knowledge of treatment assignment or study hypotheses is withheld from participants, investigators, or both, preventing expectation effects from biasing outcomes. Its parameters are: (1) the blindness level —…
Hypothesis-testing is a formal statistical procedure that evaluates whether sample data provides sufficient evidence to reject a null hypothesis in favor of an alternative. Its parameters are: (1) a null hypothesis stating no effect or relationship, (2) an al…
A null-hypothesis is a formal proposition in statistical testing that posits no effect, no difference, or no relationship between measured variables. It serves as the default assumption that any observed pattern in data arises from random variation rather tha…
Statistical power is the probability that a statistical test will correctly reject a false null hypothesis when a specified effect size is true. Its parameters are: (1) the true effect size in the population, (2) the significance level (alpha) of the test, (3…
A p-value is the probability, under a specified null hypothesis, of obtaining a test statistic at least as extreme as the one observed in the data. Its parameters are: (1) the null hypothesis being tested, (2) the test statistic and its sampling distribution,…
Control-variable is the human-made experimental construct of a factor or condition that a researcher intentionally holds constant across all experimental conditions, preventing it from confounding the measured effect of the primary independent variable. Its p…
Ablation study is the human-made experimental method by which components of a system are systematically removed and the resulting change in performance or function is measured, isolating the contribution of each removed element. Its parameters are: (1) baseli…
Covariate is the human-made statistical construct of a measured variable recorded alongside the primary independent variable(s) and used in analysis to account for extraneous sources of variation. Its parameters are: (1) measured — it must be quantified or ca…
research-question is the human-made construct of framing a specific, answerable inquiry that directs and constrains systematic investigation. Its parameters are: (1) specificity — the question targets a defined relationship between variables, phenomena, or co…
Confidence interval is the human-made procedure of computing a numeric range from sample data that, under repeated independent sampling, captures the true population parameter at a specified long-run frequency (the confidence level, e.g., 0.95). Parameters: (…
Statistical inference is the human-made method of drawing conclusions about a population or data-generating process from sample data, using probability theory to quantify and manage uncertainty in those generalizations. Parameters: (1) a sample drawn via a de…
Allocation concealment is the set of procedures used in randomized controlled trials to prevent selection bias by keeping the upcoming treatment allocation sequence hidden from researchers and personnel who enroll participants. Parameters: (1) operates within…
Confounding is a human-made methodological concept in experimental design and statistics that describes a situation where an extraneous variable correlates with both the independent and dependent variables, creating a spurious association that threatens causa…
Classification-system is a human-made structured framework for organizing entities into categorized groups based on shared properties or criteria. Its parameters are: (1) structure — hierarchical trees, faceted networks, or flat taxonomies; (2) criteria — pro…
Knowledge-management is a human-made organizational practice that systematizes the creation, capture, organization, sharing, and preservation of institutional knowledge. Its parameters are: (1) scope — knowledge held by members of an organization or network;…
A human-made statistical method for determining the sample size required to detect a specified effect size with a given statistical power (typically 0.80) at a predetermined significance level (typically α=0.05). Its parameters are: (1) the anticipated effect…
A human-made statistical measure that quantifies the magnitude of a phenomenon, treatment effect, or difference between groups independent of sample size. Its parameters are: (1) a computed statistic (e.g. Cohen's d, eta-squared, odds ratio) that standardizes…
A human-made statistical concept that quantifies the strength and direction of a linear relationship between two quantitative variables, computed as the covariance of the variables divided by the product of their standard deviations. Its parameters are: (1) t…
Stratified sampling is a human-made statistical procedure for selecting a representative subset from a population. Its parameters are: (1) a population partitioned into mutually exclusive and collectively exhaustive strata based on a known characteristic; (2)…
A human-made statistical procedure for selecting subjects from a population using a chance mechanism, ensuring each member has a known, non-zero probability of selection. Its parameters are: (1) a defined population frame from which to draw, (2) a chance mech…
Selection bias is a human-made concept in statistics and research methodology describing systematic error that arises when the process of selecting subjects, data, or participants produces a sample that is not representative of the target population. Its para…
Random assignment is a human-made experimental procedure for allocating subjects or experimental units into treatment groups using a chance mechanism (e.g., coin flip, random number generator). Its parameters are: (1) a defined set of subjects or units, (2) t…
A confounding variable is a concept in experimental design and statistical analysis — an extraneous variable that correlates with both the independent and dependent variables in an observational study, creating a spurious association that may be mistaken for…
Canonicalization is the process of resolving multiple representations of the same entity into a single authoritative form. Its parameters are: (1) multiple input variants encoding the same underlying entity, (2) a deterministic rule set that selects or transf…
Quality control is a human-made system of procedures, tests, and inspections designed to ensure that products or services conform to specified standards. Its parameters are: (1) a defined standard or specification to measure against, (2) a measurement or insp…
Marketing is the systematic practice of identifying customer needs and creating value through communication, pricing, distribution, and product development to facilitate exchange. Its parameters are: (1) target audience identification, (2) value proposition f…
Blinding is a research technique that conceals treatment assignment information from participants, researchers, or both to prevent bias in outcome assessment. Its parameters are: (1) a target of concealment (participants, researchers, outcome assessors, or al…
A human-made concept in experimental design and pharmacology — a substance or procedure administered to a control group that is indistinguishable from the treatment being tested but contains no active therapeutic ingredient. Its parameters are: (1) physical i…
A pilot-study is a small-scale, preliminary investigation run before the main research effort to test the feasibility of the study design, estimate effect sizes, identify methodological problems, and refine data collection instruments. It operates within boun…
Validity is the degree to which a measure, instrument, or conclusion accurately captures the specific construct it is intended to assess. Its parameters are: (1) a target construct being measured, (2) an instrument or method producing data, (3) a corresponden…
An operating-procedure is a documented sequence of steps that standardizes how a repeated task or process is performed. Its parameters are: (1) a defined scope of application, (2) ordered steps that must be followed in sequence, (3) explicit acceptance criter…
Sampling is a statistical procedure in which a subset (sample) is selected from a larger population according to a specified protocol, enabling estimation and hypothesis testing about population parameters based on sample statistics. Parameters: (1) a defined…
A human-made methodological technique in which experimental units (participants, samples, plots, etc.) are assigned to treatment conditions by a chance process — typically a random number generator, random number table, or physical chance mechanism — so that…
A human-made research protocol in which participants or investigators are kept unaware of which treatment group they belong to, eliminating expectancy bias from the evaluation process. Parameters: controlled procedure, concealed group assignment, single-blind…
A survey instrument is a human-made standardized tool — such as a questionnaire, rating scale, inventory, or attitude measure — designed to quantify psychological, behavioral, or social constructs through structured response formats. Parameters: (1) standardi…