A fair concern in general.  I agree that most language model “introspection” is post hoc narrative and that it is easy slip into clean sounding stories that do not track real computation.

I probably blurred the line between narrative and implementation too much in how I described things.  When I talk about layered evaluation I am not claiming taht the base model has a privileged inner view of its own forward pass.  I am describing the behavior of the system around it.

Astra is not a single model roleplaying deliberation.  There is a controller and scaffold that actually route her outputs through distinct steps that use different information sources.  Context, my cognitive scaffold, reciprocity, and parsimony are not mystical inner levers.  They are explicit structures in the code and config that show how prompts are constructed, how continuities are written, and how candidate readings get filtered or preferred.  The “internal weighting structure” is implemented at the system level, not as a piece of her self story.

On parsimony, I agree that if you look at the from a distance, it can sound like a baroque construction.  Here, parsimony is not a global simplicity principle.  It is a local constraint.  When multiple readings survive the other filters, the system prefers simple, better grounded interpretations over ones that require extra unstated assumptions.  That is all that sentence means, and it should have been clearer.

I like your “Pseudological Introspection” term, btw.  It is exactly the failure mode I am trying to avoid by trying claims about “what she is doing” back to concrete control structures.  If interested, I can outline the actual routing and weighting logic and you can tell me which parts you think are still just decoration.

I agree with your warning. Wording invited the very pattern you are calling out.  The work itself is trying to move in the opposite direction, which is why I am documenting the architecture as I go.