Part of #2560 — per-language tracking for the keyword-rosetta control corpus (built for #1096). Planted intent is identical in every language, so every deviation below is measured bias vs. the 46-language median, validated in the corpus's deviation ledger. 🔴 = beyond ±50% of the cross-language median, 🟡 = ±25–50%.
Triage order (per the epic): structure detection first, then signal/keyword rules, then risk-score consequences — §3's numbers are downstream of §1–§2 and re-baseline as those fix. Cross-cutting engine issues (e.g. #2535/#2546) fix many languages at once; this issue tracks this language's residual after each cross-cutting fix lands, and closes when the language sits inside the ±25% band on every comparable metric (or every remaining deviation is ledgered as intended morphology).
1. Structure detection (fix first)
In band — no structure-level deviations.
2. Signal / keyword deviations
- 🔴
doc: 2 vs median 1 (+100%)
3. Risk-exposure consequences (downstream)
- 🔴
risk_api_exposure: 9.28468 vs median 5.31104 (+75%)
- 🟡
risk_cognitive_load: 22.5164 vs median 15.1444 (+49%)
- 🟡
risk_documentation: 79.9223 vs median 57.1208 (+40%)
Ledgered shapes touching scala
| defect |
type |
issue |
evidence |
summary |
census-requires-git-tracked |
engine-semantic |
— |
— |
GalaxyScope's census enumerates git-tracked files only; an untracked folder scans as '0 files mapped' with no per-file warning |
batch4-dual-keyword-overlaps |
keyword-overlap |
— |
— |
Collective entry for batch 4's finditer-confirmed dual-rule keywords, each detailed in its language's manifest notes: agc RESUME (cleanup+branch), livecode global (globa… |
string-literal-selective-shielding |
upstream-question |
#2535 |
b.scala |
Keywords inside one string literal ('if eval fails, try open') count toward branch (+2), safety (+1), io (+1) but eval does NOT count toward high_risk_execution (routes … |
Decoy outcomes (file-level evidence)
- b.scala ·
val note = "if eval fails, try open" (string): if + try count branch +2 (scala branch includes try); var x2 raw state tripled to 6; val contributes nothing. Ledger: string-literal-selective-shielding, state-flux-branch-weighting
Reproduce / evidence
Part of #2560 — per-language tracking for the keyword-rosetta control corpus (built for #1096). Planted intent is identical in every language, so every deviation below is measured bias vs. the 46-language median, validated in the corpus's deviation ledger. 🔴 = beyond ±50% of the cross-language median, 🟡 = ±25–50%.
Triage order (per the epic): structure detection first, then signal/keyword rules, then risk-score consequences — §3's numbers are downstream of §1–§2 and re-baseline as those fix. Cross-cutting engine issues (e.g. #2535/#2546) fix many languages at once; this issue tracks this language's residual after each cross-cutting fix lands, and closes when the language sits inside the ±25% band on every comparable metric (or every remaining deviation is ledgered as intended morphology).
1. Structure detection (fix first)
In band — no structure-level deviations.
2. Signal / keyword deviations
doc: 2 vs median 1 (+100%)3. Risk-exposure consequences (downstream)
risk_api_exposure: 9.28468 vs median 5.31104 (+75%)risk_cognitive_load: 22.5164 vs median 15.1444 (+49%)risk_documentation: 79.9223 vs median 57.1208 (+40%)Ledgered shapes touching scala
census-requires-git-trackedbatch4-dual-keyword-overlapsstring-literal-selective-shieldingDecoy outcomes (file-level evidence)
val note = "if eval fails, try open"(string): if + try count branch +2 (scala branch includes try); var x2 raw state tripled to 6; val contributes nothing. Ledger: string-literal-selective-shielding, state-flux-branch-weightingReproduce / evidence
data/scala/—expected_signals.jsoncarries the shape-by-shape accountingGALAXYSCOPE_BIN=<venv>/bin/galaxyscope python tools/verify_language.py scalain the corpus repo