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1{2 "validation_errors": [],3 "doc_id": "jof_12520",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T22:58:38+00:00",9 "source_sha256": "a137c7ec184e2efa692ff24f81d61d59d6960f30e14f8873a2c5a0bf7649fc1a",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 26847,12 "usage": {13  "input": 9141,14  "output": 2343,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.084218,19 "request_id": "req_011CggpgQ3daNZ4LAGW4zepz",20 "annotation": {21  "genre": "empirical",22  "subfield": "financial_intermediation_banking",23  "subfield_secondary": "asset management / securitization (CDO collateral managers)",24  "primary_method": "reduced_form_regression",25  "identification": {26   "estimand": "Association of a manager's specialization (CDO Share) with deal and collateral performance; association of past deal performance with future deal assignments; effect of CDO involvement on mutual fund flows during the crisis",27   "strategy": "Cross-sectional regressions with deal type × vintage fixed effects comparing similar deals closed at the same time. Poisson regressions of future deal counts on past deal characteristics. Security-level comparisons of collateral underwritten by the CDO's arranger versus other collateral, conditional on asset class × rating cells. Fund-flow regressions with objective × time fixed effects. Alternative explanations are tested.",28   "key_assumptions": [29    "CDO Share proxies for franchise-value and reputational concerns",30    "Deals within the same type and vintage are comparable after controls",31    "Observationally similar securities are comparable apart from arranger underwriting"32   ],33   "threats_addressed": [34    "Differences in direct incentives (fees, equity stakes)",35    "Employee skill and experience",36    "Manager optimism about housing",37    "Deal characteristics under manager discretion",38    "Magnetar-sponsored deals excluded",39    "Selection in securities with price data"40   ],41   "causal_language_strength": 2,42   "uses_causal_claim": false43  },44  "abstract_moves": {45   "question": {46    "present": true,47    "sentence_index": 048   },49   "gap": {50    "present": false,51    "sentence_index": -152   },53   "method": {54    "present": false,55    "sentence_index": -156   },57   "results": {58    "present": true,59    "sentence_index": 160   },61   "magnitude": {62    "present": false,63    "sentence_index": -164   },65   "contribution": {66    "present": true,67    "sentence_index": 568   }69  },70  "introduction": {71   "moves": [72    {73     "paragraph_index": 0,74     "move": "motivation"75    },76    {77     "paragraph_index": 0,78     "move": "related_literature_positioning"79    },80    {81     "paragraph_index": 1,82     "move": "literature_gap"83    },84    {85     "paragraph_index": 1,86     "move": "mechanism_or_theory_sketch"87    },88    {89     "paragraph_index": 2,90     "move": "mechanism_or_theory_sketch"91    },92    {93     "paragraph_index": 3,94     "move": "preview_of_approach"95    },96    {97     "paragraph_index": 3,98     "move": "preview_of_results"99    },100    {101     "paragraph_index": 4,102     "move": "preview_of_approach"103    },104    {105     "paragraph_index": 4,106     "move": "preview_of_results"107    },108    {109     "paragraph_index": 4,110     "move": "identification_defense"111    },112    {113     "paragraph_index": 5,114     "move": "preview_of_results"115    },116    {117     "paragraph_index": 5,118     "move": "other"119    },120    {121     "paragraph_index": 6,122     "move": "contribution_statement"123    },124    {125     "paragraph_index": 6,126     "move": "related_literature_positioning"127    },128    {129     "paragraph_index": 7,130     "move": "related_literature_positioning"131    },132    {133     "paragraph_index": 7,134     "move": "roadmap"135    }136   ],137   "contribution_paragraph_index": 6,138   "contribution_types": [139    "new_evidence"140   ],141   "roadmap_present": true,142   "literature_positioning_location": "inside_introduction"143  },144  "section_roles": [145   {146    "idx": 0,147    "role": "introduction"148   },149   {150    "idx": 1,151    "role": "other"152   },153   {154    "idx": 2,155    "role": "data"156   },157   {158    "idx": 3,159    "role": "results"160   },161   {162    "idx": 4,163    "role": "conclusion"164   },165   {166    "idx": 5,167    "role": "appendix"168   },169   {170    "idx": 6,171    "role": "appendix"172   }173  ],174  "results_presentation": {175   "economic_significance_discussed": true,176   "statistical_significance_language": "unclear",177   "magnitude_statements_in_intro": true178  },179  "robustness": {180   "location": "mixed",181   "types": [182    "alternative_measure",183    "alternative_specification",184    "subsample",185    "other"186   ]187  },188  "tables": {189   "convention_notes": "Table notes give the full regression equation with fixed-effect structure (type × vintage, asset class × rating × time), define variables, and state the sample and data window (e.g., IRR from cash flows through December 2015). Note openings often state the table's takeaway ('This table shows that...'). Appendix tables cover deal type mapping, alternative performance measures, and price-data selection.",190   "units_stated_in_notes": true,191   "standard_errors_description": "unclear"192  },193  "figures": {194   "uncertainty_shown": "unclear"195  },196  "conclusion": {197   "bounded_claims": true,198   "policy_implications": true,199   "open_questions": false,200   "restates_contribution": true201  },202  "hedging": {203   "level": "moderate",204   "typical_devices": [205    "'consistent with' framing of results",206    "'suggests' / 'potentially understate'",207    "explicit acknowledgement that time-series race-to-bottom explanations cannot be ruled out",208    "restricting claims to cross-sectional differences"209   ]210  },211  "claim_evidence": [212   {213    "claim": "Managers whose past CDOs performed poorly received more subsequent deal assignments",214    "evidence_type": "table",215    "evidence_ref": "Table III; Figure 1"216   },217   {218    "claim": "Moving from 0% to 100% CDO Share is associated with 6.6% lower deal IRR",219    "evidence_type": "table",220    "evidence_ref": "Table IV; Figure 2"221   },222   {223    "claim": "Specialists' underperformance is not explained by direct incentives, skill, or optimism",224    "evidence_type": "table",225    "evidence_ref": "Tables V, VI"226   },227   {228    "claim": "Arranger-underwritten collateral held by specialized managers performed worse than similar securities",229    "evidence_type": "table",230    "evidence_ref": "Table VIII; Figure 4"231   },232   {233    "claim": "Institutional investors withdrew from mutual funds of families that managed ABS CDOs during the crisis",234    "evidence_type": "table",235    "evidence_ref": "Table XII"236   },237   {238    "claim": "Specialist underperformance is robust to alternative performance measures",239    "evidence_type": "table",240    "evidence_ref": "Table A.III"241   }242  ],243  "structural_summary": "The introduction motivates the paper with securitization's role in the crisis and notes that collateral managers have been neglected. It then states a popular 'front men' narrative and derives four testable predictions from it, previews tests and results (including one magnitude), and openly bounds the claims to cross-sectional evidence. It closes by positioning against the securitization-conflicts and demand literatures and giving a roadmap. The body has three sections: institutional background, data built from merged sources, and a long results section. The results section tests the predictions in order, with an explicit 'alternative explanations' subsection. The conclusion restates the contribution, flags limitations, and draws implications for asset-manager policy.",244  "writing_profile_keywords": [245   "prediction-driven narrative",246   "quid pro quo hypothesis",247   "anecdotal motivation",248   "alternative explanations ruled out",249   "fixed-effects regressions",250   "consistent-with framing",251   "financial crisis",252   "single-author first person"253  ],254  "confidence": 0.8,255  "notes": "Standard-error type and significance-reporting conventions are not visible in the excerpts. The institutional background section is classed as 'other' rather than literature. Hypotheses come from a verbal narrative, not a formal model."256 },257 "deterministic_checks": {258  "roadmap_regex": true,259  "contribution_regex_in_intro": true,260  "magnitude_in_abstract": false,261  "abstract_n_sentences": 6,262  "intro_n_paragraphs": 8,263  "intro_n_words": 1384,264  "causal_words_in_abstract": 0,265  "hedge_words_in_abstract": 2,266  "stars_mentioned": false,267  "clustered_se_mentioned": false,268  "internet_appendix_mentioned": true,269  "section_roles_rule": {270   "0": "introduction",271   "1": "literature",272   "2": "data",273   "3": "results",274   "4": "conclusion",275   "5": "appendix",276   "6": "appendix"277  }278 },279 "schema_valid": true,280 "code_version": "feb6c9e-dirty"281}
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