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1{2 "validation_errors": [],3 "doc_id": "jof_12751",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:06:09+00:00",9 "source_sha256": "600039535167c189fefa2ea440ad6c46e8e8f6ee13293a244468cc2f16866006",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 25551,12 "usage": {13  "input": 8134,14  "output": 2145,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.07623,19 "request_id": "req_011CggqFpKpAmYDmVkifPVwV",20 "annotation": {21  "genre": "empirical",22  "subfield": "corporate_finance",23  "subfield_secondary": "political economy / public procurement",24  "primary_method": "difference_in_differences",25  "identification": {26   "estimand": "Change in procurement contract volume and contract performance for private firms whose CEO shares a network with the state firm CEO, before vs. after the presidential election",27   "strategy": "Difference-in-differences around Lee Myung Bak's 2007 nomination and election, which shifted firms' political connectedness. Connections are defined through CEO networks. Contracts from connected vs. nonconnected state firms to the same private firm are compared, supplemented by stock-return event responses.",28   "key_assumptions": [29    "The election and nomination provide exogenous variation in connectedness",30    "Without the new connections, connected and nonconnected firms would have followed parallel trends",31    "State firm CEO appointments are not driven by the expected allocation of contracts",32    "Adverse outcomes are reported equally for connected and nonconnected contracts"33   ],34   "threats_addressed": [35    "the new president's political agenda",36    "endogenous CEO appointments in state firms",37    "differences in observable contract characteristics",38    "differences in reporting of adverse outcomes",39    "placebo test using state firms that already had a KU-network CEO",40    "effects of other (non-presidential) alumni networks"41   ],42   "causal_language_strength": 4,43   "uses_causal_claim": true44  },45  "abstract_moves": {46   "question": {47    "present": false,48    "sentence_index": -149   },50   "gap": {51    "present": false,52    "sentence_index": -153   },54   "method": {55    "present": true,56    "sentence_index": 057   },58   "results": {59    "present": true,60    "sentence_index": 261   },62   "magnitude": {63    "present": false,64    "sentence_index": -165   },66   "contribution": {67    "present": true,68    "sentence_index": 069   }70  },71  "introduction": {72   "moves": [73    {74     "paragraph_index": 0,75     "move": "motivation"76    },77    {78     "paragraph_index": 0,79     "move": "literature_gap"80    },81    {82     "paragraph_index": 0,83     "move": "tension_or_puzzle"84    },85    {86     "paragraph_index": 0,87     "move": "preview_of_approach"88    },89    {90     "paragraph_index": 1,91     "move": "preview_of_results"92    },93    {94     "paragraph_index": 1,95     "move": "mechanism_or_theory_sketch"96    },97    {98     "paragraph_index": 2,99     "move": "tension_or_puzzle"100    },101    {102     "paragraph_index": 2,103     "move": "policy_or_broader_implication"104    },105    {106     "paragraph_index": 3,107     "move": "preview_of_approach"108    },109    {110     "paragraph_index": 3,111     "move": "preview_of_results"112    },113    {114     "paragraph_index": 4,115     "move": "robustness_mention"116    },117    {118     "paragraph_index": 4,119     "move": "identification_defense"120    },121    {122     "paragraph_index": 5,123     "move": "contribution_statement"124    },125    {126     "paragraph_index": 5,127     "move": "related_literature_positioning"128    }129   ],130   "contribution_paragraph_index": 5,131   "contribution_types": [132    "new_evidence",133    "new_data_or_measure"134   ],135   "roadmap_present": false,136   "literature_positioning_location": "inside_introduction"137  },138  "section_roles": [139   {140    "idx": 0,141    "role": "introduction"142   },143   {144    "idx": 1,145    "role": "other"146   },147   {148    "idx": 2,149    "role": "data"150   },151   {152    "idx": 3,153    "role": "empirical_design"154   },155   {156    "idx": 4,157    "role": "results"158   },159   {160    "idx": 5,161    "role": "results"162   },163   {164    "idx": 6,165    "role": "other"166   },167   {168    "idx": 7,169    "role": "conclusion"170   }171  ],172  "results_presentation": {173   "economic_significance_discussed": true,174   "statistical_significance_language": "unclear",175   "magnitude_statements_in_intro": true176  },177  "robustness": {178   "location": "within_results",179   "types": [180    "placebo",181    "alternative_measure",182    "alternative_specification",183    "falsification",184    "other"185   ]186  },187  "tables": {188   "convention_notes": "Table notes define dummy variables, event windows (pre- and post-election periods by quarter) and dependent variables, such as annualized contract volume changes scaled by assets and binary performance indicators. Results are organized by panels. Standard error treatment is not visible in the excerpts.",189   "units_stated_in_notes": true,190   "standard_errors_description": "unclear"191  },192  "figures": {193   "uncertainty_shown": "no"194  },195  "conclusion": {196   "bounded_claims": true,197   "policy_implications": true,198   "open_questions": false,199   "restates_contribution": true200  },201  "hedging": {202   "level": "moderate",203   "typical_devices": [204    "suggest",205    "appear",206    "consistent with",207    "rough approximations only",208    "it is likely that"209   ]210  },211  "claim_evidence": [212   {213    "claim": "Connected firms' stock returns fell after the scandal news and rose after the nomination",214    "evidence_type": "table",215    "evidence_ref": "Table II; Figures 3-4"216   },217   {218    "claim": "Connected private firms received more procurement contracts after the election, driven by state firms with a same-network CEO",219    "evidence_type": "table",220    "evidence_ref": "Table IV; Figure 5"221   },222   {223    "claim": "No increase from state firms that already had a KU-network CEO before the election",224    "evidence_type": "table",225    "evidence_ref": "Table V"226   },227   {228    "claim": "Same-alumni-network connections raise contract volume even for networks unrelated to the president",229    "evidence_type": "table",230    "evidence_ref": "Table VI"231   },232   {233    "claim": "Connected contracts are about 10 pp more likely to have adverse outcomes and about 5 pp more likely to have cost increases",234    "evidence_type": "table",235    "evidence_ref": "Table VII; Figure 6"236   },237   {238    "claim": "Performance differences are not explained by observable contract characteristics",239    "evidence_type": "table",240    "evidence_ref": "Tables VIII-IX"241   }242  ],243  "structural_summary": "The introduction frames a debate over whether political connections create rents or efficiency gains. It then previews the Korean setting, the network-based allocation channel, efficiency results with magnitudes, robustness checks and contributions. The body moves through institutional background, data and empirical design, followed by market-value validation of the connection measure and a long results section with mechanism and robustness subsections. Back-of-the-envelope calculations of rents and social costs come next. The conclusion restates findings and draws procurement policy implications.",244  "writing_profile_keywords": [245   "political connections",246   "public procurement",247   "natural experiment",248   "social networks",249   "allocative efficiency",250   "single-author",251   "Korea"252  ],253  "confidence": 0.8,254  "notes": "Section IV validates the connection measure using stock-price reactions and real firm effects. The Institutional Background section is labeled 'literature' by the rule but functions as setting description, so it is annotated as 'other'. Standard error type is not visible in the excerpts."255 },256 "deterministic_checks": {257  "roadmap_regex": false,258  "contribution_regex_in_intro": true,259  "magnitude_in_abstract": false,260  "abstract_n_sentences": 4,261  "intro_n_paragraphs": 6,262  "intro_n_words": 1128,263  "causal_words_in_abstract": 0,264  "hedge_words_in_abstract": 0,265  "stars_mentioned": false,266  "clustered_se_mentioned": false,267  "internet_appendix_mentioned": true,268  "section_roles_rule": {269   "0": "introduction",270   "1": "literature",271   "2": "data",272   "3": "empirical_design",273   "4": "other",274   "5": "results",275   "6": "other",276   "7": "conclusion"277  }278 },279 "schema_valid": true,280 "code_version": "feb6c9e-dirty"281}
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