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1{2 "validation_errors": [],3 "doc_id": "jof_12831",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:11:12+00:00",9 "source_sha256": "793bcb451d37485c6b9a7731115e803fce2efe4ee82367af641a3b07e4d576f4",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 17801,12 "usage": {13  "input": 6198,14  "output": 1997,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.065526,19 "request_id": "req_011CggqeGKrAH8p6avJDdciw",20 "annotation": {21  "genre": "theoretical",22  "subfield": "corporate_finance",23  "subfield_secondary": "macro_finance",24  "primary_method": "theoretical_model_analytical",25  "identification": {26   "estimand": "not applicable (theoretical model)",27   "strategy": "not applicable; equilibrium analysis of a three-date model with incumbent pledgeability choice, debt, and auctions to experts and outsiders",28   "key_assumptions": [29    "Two periods with industry states G and B; state G for sure in period 2",30    "Experts are rational and never pay more than fundamental value",31    "Incumbent sets pledgeability, which is subject to moral hazard",32    "Debt contracts are fixed and pledgeability effects are hard to contract upon"33   ],34   "threats_addressed": [35    "Robustness to dynamic effects",36    "Alternative assumptions on ability loss",37    "Long-term debt, public equity, and state-contingent contracts"38   ],39   "causal_language_strength": 1,40   "uses_causal_claim": false41  },42  "abstract_moves": {43   "question": {44    "present": true,45    "sentence_index": 046   },47   "gap": {48    "present": false,49    "sentence_index": -150   },51   "method": {52    "present": true,53    "sentence_index": 154   },55   "results": {56    "present": true,57    "sentence_index": 258   },59   "magnitude": {60    "present": false,61    "sentence_index": -162   },63   "contribution": {64    "present": true,65    "sentence_index": 166   }67  },68  "introduction": {69   "moves": [70    {71     "paragraph_index": 0,72     "move": "tension_or_puzzle"73    },74    {75     "paragraph_index": 0,76     "move": "related_literature_positioning"77    },78    {79     "paragraph_index": 0,80     "move": "preview_of_approach"81    },82    {83     "paragraph_index": 1,84     "move": "mechanism_or_theory_sketch"85    },86    {87     "paragraph_index": 2,88     "move": "mechanism_or_theory_sketch"89    },90    {91     "paragraph_index": 3,92     "move": "preview_of_results"93    },94    {95     "paragraph_index": 3,96     "move": "contribution_statement"97    },98    {99     "paragraph_index": 4,100     "move": "preview_of_results"101    },102    {103     "paragraph_index": 5,104     "move": "related_literature_positioning"105    },106    {107     "paragraph_index": 5,108     "move": "policy_or_broader_implication"109    },110    {111     "paragraph_index": 6,112     "move": "roadmap"113    }114   ],115   "contribution_paragraph_index": 3,116   "contribution_types": [117    "new_theory_or_model"118   ],119   "roadmap_present": true,120   "literature_positioning_location": "both"121  },122  "section_roles": [123   {124    "idx": 0,125    "role": "introduction"126   },127   {128    "idx": 1,129    "role": "theory"130   },131   {132    "idx": 2,133    "role": "other"134   },135   {136    "idx": 3,137    "role": "theory"138   },139   {140    "idx": 4,141    "role": "robustness"142   },143   {144    "idx": 5,145    "role": "literature"146   },147   {148    "idx": 6,149    "role": "conclusion"150   },151   {152    "idx": 7,153    "role": "appendix"154   }155  ],156  "results_presentation": {157   "economic_significance_discussed": false,158   "statistical_significance_language": "unclear",159   "magnitude_statements_in_intro": false160  },161  "robustness": {162   "location": "main_text_section",163   "types": [164    "sensitivity_to_parameters",165    "other"166   ]167  },168  "tables": {169   "convention_notes": "No tables. Results are carried by propositions and lemmas, with proofs in the appendix. Figures depict states of nature, timing, equilibrium functions, and two descriptive time series used to discuss empirical implications.",170   "units_stated_in_notes": false,171   "standard_errors_description": "none"172  },173  "figures": {174   "uncertainty_shown": "no"175  },176  "conclusion": {177   "bounded_claims": true,178   "policy_implications": false,179   "open_questions": true,180   "restates_contribution": true181  },182  "hedging": {183   "level": "moderate",184   "typical_devices": [185    "modal verbs (can, may, could)",186    "seems",187    "explicit acknowledgment that a dynamic extension is needed",188    "consistent-with appeals to prior evidence"189   ]190  },191  "claim_evidence": [192   {193    "claim": "High anticipated liquidity raises the debt a firm can credibly repay, because wealthy experts bid full value at resale.",194    "evidence_type": "equation_or_proof",195    "evidence_ref": "Section III.A"196   },197   {198    "claim": "High anticipated liquidity and the resulting high debt reduce the incumbent's incentive to raise pledgeability.",199    "evidence_type": "equation_or_proof",200    "evidence_ref": "Section III.A.2"201   },202   {203    "claim": "In downturns after booms, firms may be sold to less productive outsiders, who raise pledgeability and later resell to experts.",204    "evidence_type": "prior_literature",205    "evidence_ref": "Eisfeldt and Rampini (2006, 2008)"206   },207   {208    "claim": "Higher anticipated liquidity can reduce current access to finance.",209    "evidence_type": "equation_or_proof",210    "evidence_ref": "Section III.B.2, Figure 4"211   },212   {213    "claim": "Proxies for weak pledgeability, such as weak internal controls and covenant-lite loans, vary over the cycle.",214    "evidence_type": "figure",215    "evidence_ref": "Figures 6 and 7"216   }217  ],218  "structural_summary": "The paper opens with a macro puzzle about protracted downturns after booms and critiques debt-overhang explanations. It then sketches the mechanism by which liquidity, leverage, and pledgeability interact, positions itself against key prior work, and gives a roadmap. Next come the model framework and two motivating examples. Formal solutions are organized by industry case (after prosperity, normal times, after distress). These are followed by a robustness section on alternative contracts and assumptions, and a section deriving empirical implications with suggestive proxies and related literature. The conclusion recaps the cycle and outlines future work.",219  "writing_profile_keywords": [220   "applied theory",221   "financing cycles",222   "pledgeability",223   "verbal mechanism exposition",224   "motivating examples",225   "proofs in appendix",226   "empirical implications section"227  ],228  "confidence": 0.85,229  "notes": "Theory paper, so empirical-only fields are set to not applicable or none. Figures 6 and 7 are descriptive time series supporting the empirical implications, not tests. Only one equation is counted, probably reflecting parsing limitations."230 },231 "deterministic_checks": {232  "roadmap_regex": true,233  "contribution_regex_in_intro": false,234  "magnitude_in_abstract": false,235  "abstract_n_sentences": 6,236  "intro_n_paragraphs": 7,237  "intro_n_words": 1071,238  "causal_words_in_abstract": 0,239  "hedge_words_in_abstract": 0,240  "stars_mentioned": false,241  "clustered_se_mentioned": false,242  "internet_appendix_mentioned": false,243  "section_roles_rule": {244   "0": "introduction",245   "1": "theory",246   "2": "other",247   "3": "theory",248   "4": "robustness",249   "5": "literature",250   "6": "conclusion",251   "7": "appendix"252  }253 },254 "schema_valid": true,255 "code_version": "87c73cd-dirty"256}
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