Library / First Principles Framework (FPF) - Core Conceptual Specification
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Source changed 2026-10-03 10:39:28 UTC · snapshot created 2026-10-03 10:40:04 UTC · last check 2026-10-03 11:10:20 UTC

E.10.LRN:4.1 - Direct branches

Recovered current claimRequired route and boundary
A person or other System acquired or changed a capability for later WorkUse A.2.2 and the direct capability-development/evaluation patterns. Name holder, target Work, conditions, support arrangement, performance evidence, transfer horizon, and uncertainty. Practice, teaching, a score, or one successful performance does not by itself establish the capability.
A teacher, coach, peer, tool-using System or other admitted System performed teaching, demonstration, feedback, or practice-support WorkUse A.13 and A.15.1 for the independently admitted performer and dated Work, A.3.1 for the enacted Method, and direct responsibility/authority relations when current. Environmental conditions keep their own causal or support relations unless an actual performer is independently established. The occurrence and intended result do not entail capability acquisition by the recipient.
A person inquired, noticed, remembered, understood, or revised an epistemeRecover the exact episteme, representation, source use, inquiry Work, and claim change through C.2.1, A.6.3.RT, A.10, and the direct subject pattern. Do not infer a general capability from one reported insight.
A statistical or machine-learning system was trained or fittedIdentify target function, distribution, or policy; data and data-generating assumptions; model family; objective or estimator; training/optimization Work; resulting model edition; evaluation conditions; and deployment use. Parameter change, a low training loss, a generated sample, and deployed-system capability remain different claims.
A probabilistic inference Method returned a posterior or approximationIdentify the target model/distribution, observations, inference or approximation family, objective/divergence/bound, computation, diagnostics, and returned distribution. Variational inference is an inference/optimization branch.
Active learning, curiosity, exploration, question asking, or data mining selected or acquired informationIdentify the query, observation, experiment, or data-acquisition option; current belief/model state; expected or observed information result; cost; and receiving decision. Information acquisition or uncertainty reduction does not by itself establish capability, transfer, useful action, or an evidence-qualified next choice.
A probe found a “learned representation”Distinguish the system-side phenomenon, training history when relevant, probe-training Work, decoded rendering, representation relation under A.6.3.RT and C.29, and any admitted episteme. Decodability or a readable label does not establish causal use, internal semantic identity, or general capability.
An organization, community, or culture “learned”Recover changed Methods, assignments, Work, carriers, population, transmission or reconstruction, selection, retention, loss, and consequences through their direct patterns and C.36. A report, policy, or lesson-learned entry does not establish changed enacted practice.
A course, lesson, guide, dataset, pattern, artifact, or other learning product was created or usedIdentify the product episteme or artifact, any claimed production Work, publication or use relation, intended capability contribution and observed result separately. Use of an existing product need not assert its production Work. The carrier is not the holder’s capability or internal state.
Ordinary or quoted wording makes no FPF-governed claimPreserve it. If relied on later, recover the exact branch then.