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Lesson 06 · What information survives a change of context?

How can we carry information about health from one context to another?

There is a surprising possibility at the center of this lesson: I may be unable to determine the full capacity of a related future state, while still being able to determine everything required to answer the declared health questions.

By Zed JamesPaper II · Sections 2–4 and 8–11Following Lesson 05

01 / From one context into another

Transport is about information, not physical movement.

Suppose I've observed a forest in one situation. I know something about its present state and continuation capacity. Under a later stage or a different set of conditions, what can that original information tell me?

I use the word transport for carrying a mathematical description or an answer across a declared relationship between source and target states. The relationship may express developmental change, environmental change, or a correspondence between descriptions.

One subtlety matters immediately: the relationship may connect a single starting state to several targets. A relation is allowed to do that. An ordinary function, by contrast, assigns one output for each input in its domain.

In the exact finite example from Paper II, I use the perturbed state P as the source and relate it to two possible targets: baseline B and recovered R.

The relation in the formal counterexample

One starting state, two targets.

Rraw={(P,B),(P,R)}

The ordered pairs say only that P is related to B and to R. These are specified mathematical states and links, not an ecological forecast.

There is no unique target state for P under this raw relation. Yet we haven't asked the central question of the lesson: does the distinction between the targets matter for the information we need?

02 / The information carried by each target

Different capacities can answer the same health questions.

The two target states have different represented capacities. I use S for a stable viable response and E for an exposed viable response:

Target · B{S, E}Stable and exposed
Target · R{S}Stable only

Recall the two adult-stage requirements from our previous lesson. One asks whether any viable response exists. The other asks whether a stable viable response is available.

Both target capacities under the licensed adult questions
RequirementBaseline BRecovered R
Any viable response available?YesYes
Stable response available?YesYes

Both presently realize the declared organization. Under the fixed adult context and those licensed requirements, the targets give the same adequacy answers and the same corresponding full Health judgments.

That means I can't infer a single raw target capacity from the source P under this relation, but the two target capacities belong to the same health-visible class. Their difference in E isn't visible to the particular licensed questions we're asking.

03 / When exact transport exists

A deterministic rule needs an answer that the source can determine.

Now let's express the criterion precisely. Call the source capacity representation C0 and the target representation C1. A relation R connects source states x to target states y. I can transport the target capacity deterministically from the source capacity only if identical source capacity information never leads, along admitted relation pairs, to different target capacities.

Capacity determinacy

Equal source information must determine equal target information.

R(x,y)∧R(x′,y′) ∧C0(x)=C0(x′) ⟹C1(y)=C1(y′)

The implication compares every pair of admitted relations whose sources look identical to C0. Target equality is what makes a well-defined deterministic map possible on the attained source-capacity values.

R(x,y)
The source state x is related to a target state y.
x′ and y′
Another related source and target pair. The prime mark distinguishes the second pair.
C0
The capacity information available at the source.
C1
The capacity representation demanded at the target.
⟹
“Implies.” If the hypotheses hold, the conclusion must hold as well.

Our finite forest relation supplies the counterexample. The same P is related to B and R. Its source capacity is necessarily the same in both pairs, because the starting state is the same. Yet the two target capacities are {S, E} and {S}. A single-valued rule cannot assign both outputs to the same input.

This is an information limitation. It isn't repaired by writing a more elaborate formula: the source representation has not specified which raw target capacity to choose.

04 / Transport only the distinctions we need

The health-visible class can still be determined.

Lesson 3 gave us a way to group different capacities whenever every declared adequacy question returns the same answer. Paper II uses the context-licensed version of that idea.

Let qA represent the quotient-class map for the licensed adult questions. Since {S,E} and {S} both pass the any-response and stable-response questions, they have the same class:

Target health-visible agreement

Different capacities, one adequacy signature

qA(C(B))=qA(C(R))

This is equality of adult health-visible quotient classes, not equality of B and R or their full represented capacities. Here qA is a class map; it is distinct from the letter Q used elsewhere for a collection of requirements.

That leaves us with two different transport tasks. One asks for every detail of the raw target capacity. The other asks only for the equivalence class determined by the licensed health questions.

See the distinction

One relation. Two different questions.

Both target outcomes remain part of the same declared relation. Change which information you ask the source to determine. The two views are shown below even without scripts.

Choose the information to transport
Task A · Raw capacity transport
Source P → Target B{S, E}
Source P → Target R{S}

No unique raw answer. The same source capacity would have to determine different raw target capacities.

Task B · Adult health-visible transport
Source P → Target B(yes, yes)
Source P → Target R(yes, yes)

One well-defined class answer. Both targets meet the two licensed adult requirements, so their adequacy signatures agree.

For the raw target capacity, two related targets disagree. Exact deterministic transport from this source-capacity value is impossible.

Logical determinacy here is a theorem-relative property of a specified mathematical relation. It is not a claim that a real forest forecast has been experimentally calibrated or shown reliable.

05 / The information required by a new context

Sometimes even the health-visible answer cannot be transported.

Let's bring back the developmental-stage example from Lesson 5. At the Newborn stage, only the any-response requirement is licensed. The capacities of P and R—{E} and {S}—both pass it. Their newborn health-visible classes agree.

At the Adult stage, we also license the stable-response requirement. P fails that requirement; R passes it. Their adult health-visible classes differ.

A stage-only transport obstruction

One source class would require two different target classes.

qN(C(P))=qN(C(R)) qA(C(P))≠qA(C(R))

The subscript N refers to the newborn licensing context and A to the adult context. The capacities themselves remain unchanged in this stage-only counterexample.

Imagine keeping only the newborn quotient-class label and discarding the original difference between {E} and {S}. When the adult question arrives, the missing distinction is exactly what I need. The single source label cannot determine which adult class to assign.

That makes exact deterministic transport from the newborn health-visible quotient to the adult quotient impossible for this example. I call it an obstruction: a proved impossibility under the information and relation we've specified.

Nothing about the actual capacities has to change in this counterexample. The obstruction comes entirely from changing which requirements are licensed. The same source information is now being asked to answer a question it was never designed to distinguish.

06 / Three claims to keep separate

Determining the target is not the same as preserving Health.

There is one more distinction I want us to keep with us. Suppose a map really does determine the requested target information. That tells me the target answer is well-defined from the source. It does not, by itself, say that the answer at the target is equal to the answer at the source.

01Target information is determined

The source representation assigns one well-defined target value on the admitted relation.

02A specified health-visible class is determined

The target's licensed adequacy answers are determined; this can succeed even when raw capacity transport fails.

03Full Health is preserved

Corresponding source and target Health judgments agree under the appropriate compatibility of licensing, realization, and adequacy.

The second task uses a coarser target than the first. If full raw capacity is determined, its target quotient class is also determined once the target requirements are fixed. But even then the source and target Health truths need not agree. Determinacy and preservation are different properties.

Paper II gives another useful illustration in its external-support discussion. Withdraw a declared external support and the resulting represented capacity can be determined exactly to be empty. Determining that loss is not the same as preserving Health; the present organization may still exist while the continuation capacity required for the original health judgment disappears.

Preservation requires more: present realization and adequacy must be compatible across the related states, and the relevant requirements must be coherently interpreted or licensed in both contexts. Those are explicit mathematical obligations, not automatic consequences of having a transport map.

The mathematical result and its scientific scope

Exact transport is an information guarantee inside a declared model.

Paper II establishes when a specified source representation contains enough information to determine a specified target representation along a relation. The guarantee holds on the source values and relation pairs governed by the theorem.

When it fails, there is a precise reason: the source has merged cases that the target needs to distinguish. When a coarser target succeeds, its success means that the requested distinctions are logically determined from the source under the given assumptions.

In an actual forest or physiological system, we'd also need an empirically justified relationship between states, observations that faithfully capture the needed distinctions, calibrated uncertainty, and evidence that the model works outside its mathematical construction. A logically determined target is not automatically a validated forecast.

The idea to take with you

A representation can answer one future question beautifully—and be incapable of answering another.

We now have three closely related ideas: contexts determine which questions are licensed; a representation can sometimes transport health-visible information even when it cannot transport the entire capacity; and missing distinctions can obstruct exact transport when a target context demands more information than was retained.

I want to leave you with a simple illustration. Suppose today's observation assigns the same capacity value to two possible source states. Under our declared relation, one leads to a stable target response and the other does not. A formula using only today's identical recorded value cannot give one universally correct answer to the target stable-response question. The input never recorded the distinction the answer depends on.

One final subject in Paper II brings this issue into focus: what happens when continuation depends on support supplied from outside the system? We can find systems with matching short-horizon information whose long-horizon capacities diverge because support remains present for one and is withdrawn for the other.

That's where I'll begin Lesson 7—with external support, dependence, and what a short-term observation may be unable to tell us about longer-term continuation.

Source: Zed James, Prospective Health Across Contexts: Contextual Licensing, Developmental Transport, and Open-System Support, Paper II in Health, Formally Defined (2026), especially Sections 2–4 and 8–11, with the external-support illustration from Section 12. Paper II publication record · Zenodo DOI. These are exact formal constructions under declared assumptions; no empirical forest Health assessment or validated forecast is claimed.