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What survives a change of view.

Distinguishing a change in expression from a change in what a task measures.

An illustration of scope, not a claim that all aspects of a task remain equivalent.

Two formulations can look different while preserving the same intellectual obligation. Two nearly identical formulations can impose different obligations. A theory of quality that cannot distinguish these cases confuses the representation with the construct.

The difficulty lies in deciding which transformations are substantively neutral. Changes in wording, ordering, context, and qualification do not belong to one homogeneous class. Some preserve the conditions of interpretation; others alter the inferential commitments while leaving the surface almost untouched.

Invariance is consequently a conditional property. It must be stated with respect to what is being preserved, the domain over which preservation is claimed, and the observations through which departure could become visible. Without those qualifications, robustness is an adjective rather than an evidential statement.

x∼φy⟺φ(x)=φ(y)
Equivalence is relative to the property being preserved. Agreement under one observable does not establish agreement under every interpretation.
REPRESENTATIONAL VARIATION

A change in the expression of a claim.

CONSTRUCT VARIATION

A change in what accepting that claim requires.

Equivalence classes and their limits

An equivalence relation groups representations only with respect to selected invariants. The quotient therefore suppresses distinctions by construction; it does not establish that the suppressed distinctions are irrelevant to every learner, task, or mode of observation.

A representation can be invariant for an automated adjudicator while remaining non-invariant for a human reader. Transporting the former result into the latter setting requires an additional argument. The existence of a stable computational partition does not supply that argument.

This perspective describes a research problem and its interpretive commitments. It is not a claim of calibrated difficulty, demonstrated learning gains, or deployment of each formalism discussed.