research(jev-intent): 修复轮重造语料并全量对照

来源 C 改为 DeepSeek Flash 生成+独立复核，撤回模板拼接结论。来源 B 157 条人工标注后跑 Jev x2 与 Flash 全量对照，结论为缺数据。

tests/test_jev_intent_research.py

@@ -6,7 +6,12 @@ import json
 import unittest
 from pathlib import Path
 
+import inspect
+
 from scripts.research.jev_intent_corpus_build import (  # noqa: E402
+    GENERATOR_NAME,
+    REVIEWER_NAME,
+    build_review_prompt,
     holdout_name_denylist,
     review_sample,
     source_a_samples,
@@ -82,10 +87,30 @@ class JevIntentCorpusTests(unittest.TestCase):
             "user_message": "没有",
             "focus": {"current_question": "钱的方面，还记得哪年收入明显变过吗？", "options": []},
             "gold": {"intent": "stop_rectification", "answer_class": None, "has_new_dated_event": False},
+            "target_before_review": {"intent": "stop_rectification"},
         }
-        reviewed = review_sample(sample)
-        self.assertEqual(reviewed["intent"], "answer_current_focus")
-        self.assertEqual(reviewed["answer_class"], "no")
+        prompt = build_review_prompt(sample)
+        self.assertIn("没有", prompt)
+        self.assertIn("钱的方面，还记得哪年收入明显变过吗？", prompt)
+        self.assertNotIn("目标", prompt)
+        tail = prompt.rsplit("用户回复：", 1)[-1]
+        self.assertIn("没有", tail)
+        self.assertNotIn("stop_rectification", tail)
+        self.assertNotIn("template", GENERATOR_NAME.lower())
+        self.assertNotIn("rule", REVIEWER_NAME.lower())
+
+    def test_corpus_build_has_no_literal_word_bank(self) -> None:
+        src = (ROOT / "scripts" / "research" / "jev_intent_corpus_build.py").read_text(encoding="utf-8")
+        self.assertNotIn("bank = {", src)
+        self.assertNotIn('GENERATOR_NAME = "agent-template', src)
+        self.assertNotIn('REVIEWER_NAME = "agent-rule', src)
+
+    def test_reviewer_does_not_regex_label(self) -> None:
+        src = inspect.getsource(review_sample)
+        self.assertNotIn("re.search", src)
+        self.assertNotIn("re.match", src)
+        self.assertNotIn("STOP_RE", src)
+        self.assertIn("complete_chat", src)
 
     def test_current_instructions_match_production_classifier(self) -> None:
         from scripts.research.jev_intent_current import CHOICE_INSTRUCTIONS, COLLECT_INSTRUCTIONS