coefficientForcingLicensed_eq
plain-language theorem explainer
Coefficient forcing for order-sensitive 4D gravity is not licensed: the licensing flag is false. Gravity analysts in Campaign G6 cite this to keep dimensionless normalization-invariant coefficients out of the ledger until a nonzero continuum residual is earned. The proof is a one-line unfold of the licensing flag onto the already-proved continuum-promotion equality.
Claim. The Boolean licensing flag for coefficient forcing equals $\mathrm{false}$. Equivalently, forcing a dimensionless normalization-invariant gravity coefficient is not licensed, because continuum promotion has not been earned.
background
Campaign G6 gates coefficient forcing for order-sensitive gravity. A dimensionless, normalization-invariant coefficient may be derived only after a nonzero continuum residual is earned; until then the empirical-gate design stays frozen closed and no fitted scalar is admitted.
The licensing flag is defined by identity with the continuum-promotion flag: coefficient forcing is licensed only when continuum promotion is earned. Upstream, continuumPromotionEarned_eq records that continuum promotion is not earned (= false), with the methodological wall that the finite outside-image theorem does not flip that flag.
Local honesty in the module: the gate status is a theorem; the coefficient itself remains open. External experiments, publication, and spending stay separately gated even after a coefficient exists.
proof idea
One-line term proof. Unfold the licensing flag (defined as equal to the continuum-promotion Boolean) and apply the upstream equality continuumPromotionEarned_eq, which is itself rfl establishing that continuum promotion equals false. No further algebra or case analysis.
why it matters
Closes the G6 gate status: continuum promotion unearned implies coefficient forcing unlicensed. That freezes empirical-gate design closed until a forced coefficient exists (sibling empirical-gate theorems in the same module). It is the honesty layer that blocks premature admission of a fitted scalar into the order-sensitive residual analysis.
No downstream consumers are wired yet (used_by empty). The open question it protects is the coefficient itself: Recognition Science still needs a nonzero continuum residual before any dimensionless gravity coefficient can be forced. Framework landmarks (T5 J-cost, phi ladder, eight-tick) are not invoked here; this is pure campaign gating, not a forcing-chain step.
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