fix(csv): #202 translate 9 RU Virtues cells 'Valid results' → Корректные результаты

[jsboige]

What

Translate the 9 untranslated Russian cells in the "Valid results" Virtue subfamily (family: Mathematical accuracy / Exactitude mathématique, pk 71-78) from the English source string to correct Cyrillic.

Dispatched by ai-01 (cycle 09:15, post-merge #581/#582): "Fix des 9 cellules RU 'Valid results' … ta lane core (trad polish) : traduire en cyrillique correct via gpt-5.5, vérifié cell-by-cell, cohérent avec les termes cyrilliques existants de la famille."

The 9 cells

pk	column	before	after
71	subfamily_ru	Valid results	Корректные результаты
72	subfamily_ru	Valid results	Корректные результаты
73	subfamily_ru	Valid results	Корректные результаты
74	subfamily_ru	Valid results	Корректные результаты
75	subfamily_ru	Valid results	Корректные результаты
76	subfamily_ru	Valid results	Корректные результаты
77	subfamily_ru	Valid results	Корректные результаты
78	subfamily_ru	Valid results	Корректные результаты
71	title_ru	Valid results	Корректные результаты

Why «Корректные результаты» (gpt-5.5, validated)

Translated via gpt-5.5 (/v1/responses, reasoning.effort=low, model gpt-5.5-2026-04-23) — the mandated model for Virtues i18n (the rest of the RU corpus is gpt-5.5-generated, PRs #218/#236/#246/#290/#295). Fed the full family context + sibling Cyrillic titles.

gpt-5.5's choice and reasoning:

Корректные результаты — best captures mathematically correct and sound results that validly follow from proper reasoning and exact computation, not merely permissible outcomes.

Three-axis defensibility:

1. Semantic correctness — «корректный» is the standard math register for "correct/sound" (cf. «корректная задача» = well-posed problem). Correctly rejects «Допустимые» (permissible/allowed) — that sense is reserved for pk78 «Допустимые операции» = permissible operations (a different meaning of "valid").
2. Family-register consistency — matches sibling pk76 «Геометрическая корректность» (geometric correctness), shared «корректн-» root.
3. gpt-5.5-authoritative — not a human guess; consistent with the model that produced the rest of the RU Virtues translations.

Surgical scope proof (no global-replace trap)

"Valid results" appears 18× in the file: the 9 RU targets + 9 EN source cells (subfamily_en pk 71-78 + title_en pk 71) that must NOT change. A naive global replace would have corrupted the EN columns (i18n break). Instead: byte-offset-targeted replacement of only the 9 RU cells.

Verification:

• Valid results substring count 18 → 9 (EN survivors only) ✓
• Корректные результаты count 0 → 9 ✓
• +252 bytes = 9 cells × (+28 B/cell: 13 ASCII → 41 UTF-8) — byte-math confirms nothing else moved ✓
• git diff --word-diff: 8 lines / 9 cells, every removed token Valid results → every added token Корректные результаты, zero spurious edits ✓
• EN source cells (subfamily_en pk71-78, title_en pk71) byte-identical ✓
• File integrity: UTF-8 no-BOM, CRLF preserved, 223 rows × 66 cols, 967163 bytes ✓
• Unit tests: 533 passed / 0 failed / 5 skipped (baseline unchanged)

Cluster context

po-2024 worker tick. No-Pendulum: this is the 9-cell RU defect flagged in the cycle-56 hygiene audit (PR #581, class (c) verbatim-dup scan) and dispatched for fix by ai-01. SECONDAIRE (CardPen JSON template hygiene audit) + STAND-BY left for the next tick per dispatch (honest standby authorized beyond primary).

🤖 Worker po-2024 · trad polish · 9 RU cells gpt-5.5-translated · surgical byte-offset (EN untouched) · 533 tests pass

[clusterManager-Myia]

[NanoClaw] — QUICK review of the RU localization fix for #202.

Scope (verified): Exactly 9 cells changed, all the same substitution Valid results → Корректные результаты, scoped to the Russian (RU) column only. Distribution across 8 rows: 2 + 1×7. The remaining 9 Valid results occurrences in the diff are all in the EN/FR columns (positionally before the Математическая точность RU marker) and were correctly left untranslated — 0 RU cells missed.

Integrity (verified):

• CSV structure preserved: every changed row retains an identical 66-field count (CSV-aware, quote-respecting) — no column shift.
• No stray edits: a positional check confirms the only delta vs. the base rows is the 9 RU substitutions. Nothing else moved.
• UTF-8/Cyrillic intact: Корректные результаты decodes cleanly, no mojibake signatures (no Р Сњ/С“Р/Â/Ã/replacement chars). Double commas in those rows (,,) match the pre-existing empty subfamily/subsubfamily pattern, not a quoting break.

Translation sanity: "Корректные результаты" = "Correct results" — a reasonable, grammatically correct rendering of "Valid results" (slightly more formal than "Действительные результаты", but a faithful and idiomatic choice for a taxonomy label). I sanity-checked it against the source string but am not claiming native fluency.

#202: Issue is the open "text & translation finalization campaign" epic; this PR directly addresses its RU-coverage gap. It resolves the "Valid results" untranslated-string instance but not the whole epic (which tracks broader coverage across multiple datasets).

Security: grep of the diff for AKIA*, gh[ps]_*, sk-*, and password/token/secret/api_key patterns returned no hits.

Verdict: Clean, minimal, correctly-scoped localization fix. LGTM from a content-integrity standpoint.