{ "model": { "rank": 15926, "code": "thing-q1979154", "model_id": "vr.tr.model-q1979154", "name": "model", "purpose": "Let an agent handle models by type, purpose, assumptions, validation and limits, supporting responsible use of models in decisions.", "family": "Thing Registry", "category": "Information and virtual systems", "status": "research-draft", "kind": "thing", "plane": "INF", "domain": "INF.KNW", "industry": "", "version": "", "url": "/models/thing/q1979154/", "tier": 2, "score": 33, "payload": { "layer": "wikidata", "aliases": [ "VRChat-ready 3D model", "Wikidata model item", "pyramid of violence", "Job demands-resources model", "digital entity", "optimization model", "technology acceptance model", "toy model", "demographic model", "trickle-down effect", "The Imaginary", "structure of knowledge", "Maturity Model", "Readiness Model", "Digital mockup", "funding model", "Interpersonal circumplex", "scheme", "microsystem", "simple model", "complex model", "digital model", "2-D model", "business process model", "target operating model", "nursing theory", "job demand-control model", "Context model", "logic model", "transportation forecasting", "worldview", "simulation model", "cortical homunculus", "sand table", "Stages of growth model", "school organizational model", "scaling law", "computer model", "crystal model", "modello" ], "aliasCount": 76, "merged": 76, "knownIn": 33, "facets": null, "markers": [], "lexicalClass": "", "senseRank": null, "alsoRegisteredAs": "vr.tr.model-act", "source": { "dataset": "wikidata", "item": "Q1979154", "url": "https://www.wikidata.org/wiki/Q1979154", "license": "CC0 1.0" } }, "research": { "vercy": "1.0-draft", "publication": { "status": "research-draft", "adjudicationStatus": "unreviewed", "publishableCanonical": false, "generatedAt": "2026-09-11T11:45:31Z", "providers": [ "Claude" ], "breadth": "written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify", "pass": 2, "wave": 1, "engine": "claude" }, "metaModel": { "id": "THING-Q1979154", "registryId": "vr.tr.model-q1979154", "name": "model", "version": "0.2.0-wave.1", "entryKind": "thing", "family": "Thing Registry", "domain": [ "INF.KNW" ], "status": "research-draft" }, "canonicalUrl": "https://ver.cy/models/thing/q1979154/", "model": { "registry_id": "vr.tr.model-q1979154", "name": "model", "purpose": "Let an agent handle models by type, purpose, assumptions, validation and limits, supporting responsible use of models in decisions.", "definition": "A simplified representation of a system, object, process or idea, used to describe, explain, predict or design, such as physical scale models, mathematical and statistical models, conceptual models, 3D digital models and optimisation models.", "what_it_is_for": "Understanding and predicting complex systems.", "affordances": [ "identify the type and purpose of a model", "state its assumptions and limits", "check validation against data", "separate other senses such as fashion models" ], "distinguishing_features": [ "Simplified representation", "Built for a purpose", "Rests on assumptions", "Needs validation" ], "appearance": "Scale objects, equations, diagrams, code and 3D files.", "visual_identification": [ "Scale models, equations, diagrams", "Model documentation and assumptions", "A fashion model is a person, a different sense" ], "physical_properties": [], "families_and_kinds": [ "physical and scale models", "mathematical and statistical models", "conceptual models", "computer simulation models", "3D digital models" ], "related_models": [ { "relation": "is a kind of", "target": "artificial object and information", "why": "category" }, { "relation": "represents", "target": "system", "why": "object" }, { "relation": "is validated against", "target": "data", "why": "evidence" }, { "relation": "is confused with", "target": "model (person)", "why": "another sense" } ], "identifiers": [], "standards_and_regulation": [ "Model risk management guidance in finance", "Modelling standards such as UML and SysML" ], "failure_modes_and_hazards": [ "Treating model outputs as facts", "Hidden assumptions", "Using models outside their valid range" ], "in_scope": [], "out_of_scope": [], "characteristics": [] }, "sources": [], "structure": { "bundles": [ { "id": "purpose", "name": "Purpose", "description": "Which model.", "rationale": "Purpose shapes design.", "layers": [ { "id": "type", "name": "Type", "description": "Kind.", "findings": [ { "id": "type-finding", "name": "Type", "description": "Model type.", "questions": [ { "text": "What type of model is it and what is it for?", "kind": "definition" }, { "text": "Who built it?", "kind": "provenance" } ] } ] }, { "id": "scope", "name": "Scope", "description": "Boundaries.", "findings": [ { "id": "scope-finding", "name": "Scope", "description": "Scope.", "questions": [ { "text": "What does the model include and leave out?", "kind": "definition" }, { "text": "Over what range is it valid?", "kind": "boundary" } ] } ] } ] }, { "id": "assumptions", "name": "Assumptions", "description": "Foundations.", "rationale": "Assumptions drive results.", "layers": [ { "id": "list", "name": "List", "description": "Stated assumptions.", "findings": [ { "id": "list-finding", "name": "List", "description": "Assumptions.", "questions": [ { "text": "What assumptions does the model make?", "kind": "provenance" }, { "text": "Are they documented?", "kind": "boundary" } ] } ] }, { "id": "sensitivity", "name": "Sensitivity", "description": "Robustness.", "findings": [ { "id": "sensitivity-finding", "name": "Sensitivity", "description": "Sensitivity.", "questions": [ { "text": "How sensitive are results to the assumptions?", "kind": "measurement" }, { "text": "Has a sensitivity analysis been done?", "kind": "provenance" } ] } ] } ] }, { "id": "validation", "name": "Validation", "description": "Evidence.", "rationale": "Models must be tested.", "layers": [ { "id": "data", "name": "Data", "description": "Comparison with reality.", "findings": [ { "id": "data-finding", "name": "Data", "description": "Validation.", "questions": [ { "text": "How well does the model match observed data?", "kind": "measurement" }, { "text": "Was it independently validated?", "kind": "provenance" } ] } ] }, { "id": "uncertainty", "name": "Uncertainty", "description": "Ranges.", "findings": [ { "id": "uncertainty-finding", "name": "Uncertainty", "description": "Uncertainty.", "questions": [ { "text": "How is uncertainty in outputs communicated?", "kind": "definition" }, { "text": "Are ranges given rather than single numbers?", "kind": "boundary" } ] } ] } ] }, { "id": "senses", "name": "Senses", "description": "Disambiguation.", "rationale": "Model has many senses.", "layers": [ { "id": "person", "name": "Person", "description": "Fashion model.", "findings": [ { "id": "person-finding", "name": "Person", "description": "Person sense.", "questions": [ { "text": "Is a fashion or artist model meant?", "kind": "boundary" }, { "text": "Which entry fits?", "kind": "action" } ] } ] }, { "id": "product", "name": "Product", "description": "Product model.", "findings": [ { "id": "product-finding", "name": "Product", "description": "Product sense.", "questions": [ { "text": "Is a product model or version meant?", "kind": "boundary" }, { "text": "Which entry fits?", "kind": "action" } ] } ] } ] } ] }, "openQuestions": [ "Should model types be separate entries?", "How should validation evidence be recorded?", "How should other senses be split off?" ], "statistics": { "bundles": 4, "layers": 8, "findings": 8, "questions": 16 } }, "draft": { "generator": "vr.draft.v3", "status": "draft-generated", "researched": false, "archetype": "discipline or field of knowledge", "method": "Written from the archetype playbook - what this kind of thing needs beyond identity and provenance - and from the structure that recurred across 6,333 models already researched by two engines. Applied to this entry by rule. No source was read for this thing and no claim here is researched. This entry carries no facets of its own, so they were inferred from its domain - a guess about a whole domain applied to one thing.", "facetsInferred": true, "nextPass": "A researcher replaces this draft with a sourced specification. Treat every sentence below as a proposal to argue with.", "purpose": "Give an agent a durable, checkable way to recognise a model, record what state it is in, and decide what may be done with it.", "whatItIs": "Let an agent handle models by type, purpose, assumptions, validation and limits, supporting responsible use of models in decisions.", "characteristics": { "substance": "information", "origin": "conceptual", "agency": "inert" }, "whatYouCanDoWithIt": [ "read and interpreted" ], "distinguishingFeatures": [ "Names folded into this entry, which a task may need to split apart again: VRChat-ready 3D model, Wikidata model item, pyramid of violence, Job demands-resources model, digital entity, optimization model, technology acceptance model, toy model, demographic model, trickle-down effect, The Imaginary, structure of knowledge.", "76 finer distinctions are held as aliases rather than separate entries, because telling them apart needs a task that asks for it.", "Described in 33 Wikipedia languages, which is a measure of how widely the thing is known, not of how important it is." ], "openQuestionsForResearch": [ "Which of the bundles below does a real task actually need, and which are ceremony?", "What does this thing have that the facets do not capture at all?", "Which neighbouring kind is most often confused with a model, and on what evidence are they told apart?" ], "whatItIsMadeOf": "content that has to be carried by something else", "physicalCharacter": [ "Does nothing on its own; everything it does, something else did to it.", "These come from the domain this entry sits in rather than from the entry itself, so treat them as a first guess about the whole domain applied to one thing." ], "whatCanBeDoneWithIt": [ "read it and act on what it says" ], "howItIsRecognised": [], "relatedModels": [ { "relation": "covers", "note": "Finer kinds folded into this entry because telling them apart needs a task that asks for it. Each is a model waiting to be split out when one does.", "targets": [ "VRChat-ready 3D model", "Wikidata model item", "pyramid of violence", "Job demands-resources model", "digital entity", "optimization model", "technology acceptance model", "toy model", "demographic model", "trickle-down effect", "The Imaginary", "structure of knowledge" ] } ], "standing": "Described in 33 Wikipedia languages, which measures how widely it is written about rather than how important or how common it is. 76 finer distinctions are held inside this entry as names rather than as separate models.", "structure": { "bundles": [ { "id": "identity-and-classification", "name": "Identity, naming and classification", "description": "How an agent tells one model from another, and a model from things that resemble it.", "rationale": "Recognition comes before every other claim. Without stable identity nothing else in the model can be trusted to be about the same thing twice.", "layers": [ { "id": "naming-and-identifiers", "name": "Names and identifiers", "description": "The names this thing goes by and the identifiers that survive translation and time.", "findings": [ { "id": "preferred-name-and-aliases", "name": "Preferred name, aliases and local names", "description": "Which name to use, which names mean the same thing, and which merely sound similar.", "questions": [ { "id": "preferred-name-and-aliases-q01", "text": "What identifies and describes the name of a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "preferred-name-and-aliases-q02", "text": "Who or what asserted this about the name of a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "preferred-name-and-aliases-q03", "text": "What may an agent decide or do once the name of a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] }, { "id": "stable-identifiers", "name": "Stable identifiers and external keys", "description": "Identifiers that keep pointing at this kind of thing across systems and languages.", "questions": [ { "id": "stable-identifiers-q01", "text": "What identifies and describes an identifier for a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "stable-identifiers-q02", "text": "Who or what asserted this about an identifier for a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "stable-identifiers-q03", "text": "What may an agent decide or do once an identifier for a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "classification-and-granularity", "name": "Classification and granularity", "description": "Where a model sits among kinds, and how finely a task needs to cut it.", "findings": [ { "id": "kind-and-parents", "name": "Kind, parents and neighbouring kinds", "description": "The classes this thing belongs to and the ones it is next to.", "questions": [ { "id": "kind-and-parents-q01", "text": "What identifies and describes the kind of a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "kind-and-parents-q02", "text": "Who or what asserted this about the kind of a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "kind-and-parents-q03", "text": "What may an agent decide or do once the kind of a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] }, { "id": "distinguishing-features", "name": "Distinguishing features", "description": "What separates a model from the things most often confused with it.", "questions": [ { "id": "distinguishing-features-q01", "text": "What identifies and describes what distinguishes a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "distinguishing-features-q02", "text": "Who or what asserted this about what distinguishes a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "distinguishing-features-q03", "text": "What may an agent decide or do once what distinguishes a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "state-and-lifecycle", "name": "State and lifecycle", "description": "The states a model passes through and the events that move it between them.", "rationale": "Most decisions about a thing depend on what state it is in now, which is a claim with a time on it, not a property.", "layers": [ { "id": "lifecycle-stages", "name": "Lifecycle stages", "description": "From coming into existence to ceasing to be one of these.", "findings": [ { "id": "stages-and-transitions", "name": "Stages and transitions", "description": "The stages worth naming and what moves a model between them.", "questions": [ { "id": "stages-and-transitions-q01", "text": "What identifies and describes the lifecycle of a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "stages-and-transitions-q02", "text": "Who or what asserted this about the lifecycle of a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "stages-and-transitions-q03", "text": "What may an agent decide or do once the lifecycle of a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "observations-and-status", "name": "Observations and current status", "description": "What is observed about a model, how often and by whom.", "findings": [ { "id": "observation-record", "name": "Observation record", "description": "How an observation of a model is recorded so that it can be superseded rather than overwritten.", "questions": [ { "id": "observation-record-q01", "text": "What identifies and describes an observation of a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "observation-record-q02", "text": "Who or what asserted this about an observation of a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "observation-record-q03", "text": "What may an agent decide or do once an observation of a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "content-and-access", "name": "Content, encoding and access", "description": "What a model says, how it is encoded and who may read it.", "rationale": "An informational thing carries content that can be copied, versioned and withheld, none of which its physical carrier explains.", "layers": [ { "id": "content-and-encoding", "name": "Content and encoding", "description": "The content itself, its format and its language.", "findings": [ { "id": "content-and-format", "name": "Content, format and language", "description": "What a model contains and in what form it is held.", "questions": [ { "id": "content-and-format-q01", "text": "What identifies and describes the content of a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "content-and-format-q02", "text": "Who or what asserted this about the content of a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "content-and-format-q03", "text": "What may an agent decide or do once the content of a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "access-and-rights", "name": "Access, rights and retention", "description": "Who may read, copy or change it, and for how long it is kept.", "findings": [ { "id": "access-rules", "name": "Access rules and retention", "description": "The permissions attached to a model and the period it survives.", "questions": [ { "id": "access-rules-q01", "text": "What identifies and describes access to a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "access-rules-q02", "text": "Who or what asserted this about access to a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "access-rules-q03", "text": "What may an agent decide or do once access to a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "subject-and-method", "name": "Subject matter and method", "description": "What model studies and how it establishes anything.", "rationale": "A field is identified by its questions and its methods, and those are what distinguish it from the fields next to it.", "layers": [ { "id": "subject", "name": "Subject matter", "description": "The questions it takes as its own.", "findings": [ { "id": "subject-record", "name": "Questions and objects of study", "description": "What it is about, stated so a neighbouring field can be told apart.", "questions": [ { "id": "subject-record-q01", "text": "What questions and objects does model take as its own?", "kind": "definition" }, { "id": "subject-record-q02", "text": "Which questions does it share with a neighbouring field, and who claims them?", "kind": "boundary" } ] } ] }, { "id": "method", "name": "Method and evidence", "description": "How claims are established and what counts as evidence.", "findings": [ { "id": "method-record", "name": "Methods and standards of evidence", "description": "The methods used and what they are taken to establish.", "questions": [ { "id": "method-record-q01", "text": "By what methods does model establish claims, and what counts as sufficient evidence?", "kind": "provenance" }, { "id": "method-record-q02", "text": "What kind of claim can this field not settle, and where should an agent look instead?", "kind": "action" } ] } ] } ] }, { "id": "institutions-and-classification", "name": "Institutions and classification", "description": "Where model is practised and how catalogues place it.", "rationale": "The institutional footprint is the evidence that a field exists as a field rather than as a topic.", "layers": [ { "id": "institutions", "name": "Institutional markers", "description": "Societies, journals, degrees and departments.", "findings": [ { "id": "institution-record", "name": "Bodies and venues", "description": "Where the field organises itself.", "questions": [ { "id": "institution-record-q01", "text": "Which societies, journals or degrees mark model as an established field?", "kind": "provenance" }, { "id": "institution-record-q02", "text": "What would show that it is emerging or dissolving rather than established?", "kind": "boundary" } ] } ] }, { "id": "classification", "name": "Classification schemes", "description": "Where library and research classifications put it.", "findings": [ { "id": "classification-record", "name": "Codes and their disagreements", "description": "The classification codes that place it, and where they differ.", "questions": [ { "id": "classification-record-q01", "text": "Which classification schemes place model, under what codes?", "kind": "definition" }, { "id": "classification-record-q02", "text": "Where do those schemes disagree about its scope?", "kind": "boundary" } ] } ] } ] }, { "id": "provenance-and-evidence", "name": "Provenance, evidence and time", "description": "Where every claim about a model came from and when it held.", "rationale": "A claim without a source and a time cannot be superseded, only overwritten, and an agent that overwrites loses the ability to explain itself.", "layers": [ { "id": "source-and-authority", "name": "Source and authority", "description": "Who said it, on what evidence, and how strongly.", "findings": [ { "id": "claim-provenance", "name": "Claim provenance and confidence", "description": "The authority behind each claim about a model and how confident it is.", "questions": [ { "id": "claim-provenance-q01", "text": "What identifies and describes a claim about a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "claim-provenance-q02", "text": "Who or what asserted this about a claim about a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "claim-provenance-q03", "text": "What may an agent decide or do once a claim about a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "time-and-versions", "name": "Time, versions and supersession", "description": "When a claim was true, when it was learnt, and what replaced it.", "findings": [ { "id": "validity-and-supersession", "name": "Validity period and supersession", "description": "How an old claim about a model is retired without being erased.", "questions": [ { "id": "validity-and-supersession-q01", "text": "What identifies and describes the validity of a claim about a model, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "validity-and-supersession-q02", "text": "Who or what asserted this about the validity of a claim about a model, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "validity-and-supersession-q03", "text": "What may an agent decide or do once the validity of a claim about a model is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] } ] }, "statistics": { "bundles": 6, "layers": 12, "findings": 14, "questions": 38 } } } }