Three small frictions a first-time reader hit at the same time,
fixed in one pass:
1. The TierBadge said 'T1' without context. Default form is
now 'T1 · amtlich' / 'T2 · Verband' / 'T3 · Erhebung' /
'T4 · Signal'. Compact form (heatmap chip wrap) keeps the
bare code. Tooltip spells out the long form + cites the
Regel der niedrigsten Stufe (Studie §6.7) so the meaning
of the cap is at hand on hover.
2. The Legende's tier row was the abstract one of the four —
it now inlines all four stage names (amtlich / Verband /
Erhebung / Signal) and explains why a single T4 component
drags a whole figure to T4. No more 'what is Tier?' on
screen.
3. The DemoBanner repeated 'Tier T4' without explaining what
T4 is. Now: 'qualitatives Signal — bis NKR/Verbands-
Pipeline + Juristen-Approval laufen'. The cause-and-cure
is visible at a glance.
4. The NavigationRail leading column showed only 'F∆I' as
brand mark. Now shows 'Recl∆Im' prominently (petrol-signal,
bold) with 'F∆I' as a small muted vendor tag below.
Product first, vendor second.
EvidenceTierLabel extension grows a new 'headline' getter for
the one-word default ('amtlich'/'Verband'/…), and 'description'
gets longer, source-naming text (NKR / DESTATIS / DIHK / IHK /
ZDH / BDI). Code paths that used the old short-only badge keep
working because 'short' still returns 'T1'.
flutter pub get refreshed against chain_client_sdk 0.18, which
the fai_chain agent confirmed already carries the gRPC-Web
channel — no SDK bump needed for the web-hub-mode wire.
Signed-off-by: flemming-it <sf@flemming.it>
Adds the actual paragraphs of the law right next to the
evaluation panel on the norm-detail page. A reviewer no longer
has to leave the app to confirm what a score is about; the
canonical source URL stays one click away via 'Im Browser
öffnen' (url_launcher) and one click away as a clipboard copy.
Schema
models.dart gains a NormParagraph (number + text). Norm carries
a List<NormParagraph> paragraphs, defaulted to const [] so
norms harvested by text.akoma_normalize@^0 in live mode slot
in without breaking the Mock path.
Demo data
fixtures.dart embeds the public source paragraphs verbatim
under §5 UrhG (amtliche Werke) for the five pilot norms.
Plumbing
NormTextCard (lib/widgets/norm_text_card.dart) is the renderer:
per-paragraph hanging label, selectable body text, source URL
in mono at the bottom, two action buttons. NormDetailPage
drops the card between the metric row and the duties card so
the eye lands on it during a 'why this score?' read-through.
macOS sandbox
The Release entitlement file gains
com.apple.security.network.client so url_launcher's NSWorkspace
call and the HubRepository's gRPC channel can both reach the
network. The DebugProfile already had server; client matches
the production posture.
GeneratedPluginRegistrant.swift was re-generated by
flutter pub get after url_launcher was added — no hand edits.
flutter analyze: clean. flutter test: 2/2 passing. The macOS
build via build-macos.sh launches and the new card renders the
GewO § 14, KassenSichV, DSGVO Art. 30, BauO Bln § 60 ff and
MiLoG § 17 fixtures with their actual normative text.
Signed-off-by: flemming-it <sf@flemming.it>
First end-to-end-buildable cut of the pflicht-/graph-basierte
Wirkungsanalyse von Rechtsnormen, running on Ch∆In. Demo runs
without external dependencies and without a hub connection so
the methodology + UI stack can be reviewed before any Verbands-
Kooperation or Beirats-Validierung kicks in.
Tree layout
MACHBARKEITSSTUDIE.md v0.3 — pflicht-basierte Methodik,
4-Tier-Evidenz, 8 law*-Module
auf Ch∆In statt der alten F∆I-
Plattform.
RUN.md one-page how-to-run.
flows/durchstich-gewo-14.yaml
vertical Phase-0 flow: pull →
normalize → duties → citations →
cohort → skm → frust → benefit →
attribution → system.approval.
app/ Flutter macOS client, design
language pulled from fai_web
(ink #08090A, paper #F4F3EF,
petrol signal #2E8F9E). Mock
repository ships five fixture
norms with real source URLs and a
permanent T4 demo-banner so no
figure can be mistaken for a
validated one.
Module repos (separate, see chain-modules*/):
text-akoma-normalize, text-deontic-extract, graph-citation-
extract, text-readability-score, stats-cohort-size, graph-
shapley-attribution, econ-skm-score, law-benefit-score.
What runs today
- flutter analyze: 0 issues
- flutter test: 2/2 (landing + nav-to-shell smoke)
- flutter build macos (via app/build-macos.sh) and ad-hoc
codesign, app launches and the Dart VM service comes up
- native cargo test green on every module
- cargo build --release --target wasm32-wasip2 produces a
130 KiB artefact for text-akoma-normalize
What is deliberately mock / stub
- gRPC wire from the client to a chain serve hub (Repository
abstraction is in place; live impl is the next step)
- NKR Bürokratiekosten-Datenbank ingestion (for the canonical
h-Werte that close out the Engpass per Studie §6.7)
- DESTATIS GENESIS-API adapter for stats.cohort_size
License: Apache-2.0. Author/contact in MACHBARKEITSSTUDIE.md.
Signed-off-by: flemming-it <sf@flemming.it>
