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1{2 "validation_errors": [],3 "doc_id": "jof_12906",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:13:47+00:00",9 "source_sha256": "2d105f0c2e4133bda8775f1f75c58570cc89da8916dbf3d9d200516d337dea53",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 14728,12 "usage": {13  "input": 4983,14  "output": 1849,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.057706,19 "request_id": "req_011CggqqmysEjCvXEvLQrPdC",20 "annotation": {21  "genre": "survey_or_address",22  "subfield": "behavioral_finance",23  "subfield_secondary": "asset_pricing",24  "primary_method": "theoretical_model_analytical",25  "identification": {26   "estimand": "not applicable (theoretical address)",27   "strategy": "not applicable; illustrative theoretical models (fables) with analytical propositions",28   "key_assumptions": [29    "agents fail to fully adjust for transmission bias in received signals",30    "random pairwise meetings among agents"31   ],32   "threats_addressed": [],33   "causal_language_strength": 2,34   "uses_causal_claim": false35  },36  "abstract_moves": {37   "question": {38    "present": true,39    "sentence_index": 040   },41   "gap": {42    "present": true,43    "sentence_index": 244   },45   "method": {46    "present": true,47    "sentence_index": 348   },49   "results": {50    "present": true,51    "sentence_index": 452   },53   "magnitude": {54    "present": false,55    "sentence_index": -156   },57   "contribution": {58    "present": true,59    "sentence_index": 360   }61  },62  "introduction": {63   "moves": [64    {65     "paragraph_index": 0,66     "move": "motivation"67    },68    {69     "paragraph_index": 1,70     "move": "literature_gap"71    },72    {73     "paragraph_index": 1,74     "move": "related_literature_positioning"75    },76    {77     "paragraph_index": 2,78     "move": "mechanism_or_theory_sketch"79    },80    {81     "paragraph_index": 3,82     "move": "tension_or_puzzle"83    },84    {85     "paragraph_index": 4,86     "move": "contribution_statement"87    },88    {89     "paragraph_index": 5,90     "move": "preview_of_approach"91    },92    {93     "paragraph_index": 5,94     "move": "preview_of_results"95    },96    {97     "paragraph_index": 6,98     "move": "literature_gap"99    },100    {101     "paragraph_index": 7,102     "move": "mechanism_or_theory_sketch"103    },104    {105     "paragraph_index": 8,106     "move": "mechanism_or_theory_sketch"107    },108    {109     "paragraph_index": 9,110     "move": "roadmap"111    }112   ],113   "contribution_paragraph_index": 5,114   "contribution_types": [115    "new_theory_or_model",116    "synthesis"117   ],118   "roadmap_present": true,119   "literature_positioning_location": "inside_introduction"120  },121  "section_roles": [122   {123    "idx": 0,124    "role": "introduction"125   },126   {127    "idx": 1,128    "role": "theory"129   },130   {131    "idx": 2,132    "role": "theory"133   },134   {135    "idx": 3,136    "role": "theory"137   },138   {139    "idx": 4,140    "role": "theory"141   },142   {143    "idx": 5,144    "role": "theory"145   },146   {147    "idx": 6,148    "role": "conclusion"149   },150   {151    "idx": 7,152    "role": "appendix"153   }154  ],155  "results_presentation": {156   "economic_significance_discussed": false,157   "statistical_significance_language": "unclear",158   "magnitude_statements_in_intro": false159  },160  "robustness": {161   "location": "none_seen",162   "types": []163  },164  "tables": {165   "convention_notes": "No tables. Figures are a schematic summary of themes, model timelines and simulated or expected price paths.",166   "units_stated_in_notes": false,167   "standard_errors_description": "none"168  },169  "figures": {170   "uncertainty_shown": "no"171  },172  "conclusion": {173   "bounded_claims": true,174   "policy_implications": false,175   "open_questions": true,176   "restates_contribution": true177  },178  "hedging": {179   "level": "moderate",180   "typical_devices": [181    "modal verbs (may, can help explain)",182    "framing models as illustrative fables",183    "noting work-in-progress status",184    "suggest rather than show"185   ]186  },187  "claim_evidence": [188   {189    "claim": "Social transmission bias compounds recursively, so small biases can produce large aggregate effects such as booms and bubbles",190    "evidence_type": "equation_or_proof",191    "evidence_ref": "Section IV, Propositions 1-11, Appendix"192   },193   {194    "claim": "Self-enhancing transmission favors the spread of high-variance or high-skew active strategies without a direct psychological preference",195    "evidence_type": "prior_literature",196    "evidence_ref": "Section II; Han, Hirshleifer, and Walden (2019a)"197   },198   {199    "claim": "Visibility bias in consumption leads to overconsumption",200    "evidence_type": "prior_literature",201    "evidence_ref": "Section III; Han, Hirshleifer, and Walden (2019b)"202   },203   {204    "claim": "Biased information percolation generates bubble price paths with distinct phases",205    "evidence_type": "figure",206    "evidence_ref": "Figure 3"207   },208   {209    "claim": "Contagion with buzz in an asset market yields damped oscillating prices through overreaction and overcorrection",210    "evidence_type": "figure",211    "evidence_ref": "Figure 5"212   },213   {214    "claim": "Socially emergent behavior can mimic individual propensities, so inferences from behavioral tests may be overstated",215    "evidence_type": "none_stated",216    "evidence_ref": "Introduction; Section VI; Figure 2"217   }218  ],219  "structural_summary": "A presidential address that proposes a new paradigm and defines its core concept, then contrasts it with earlier paradigm shifts to identify a gap in the toolkit. It works through five model-based fables: three summarize prior coauthored work, one is a long new model with formal propositions and proofs in the appendix, and one sketches work-in-progress. It closes with a list of emergent themes that act as the conclusion, including suggested empirical proxies.",220  "writing_profile_keywords": [221   "presidential address",222   "paradigm proposal",223   "fables",224   "analytical models",225   "first-person voice",226   "conceptual synthesis",227   "propositions with appendix proofs",228   "emergent themes"229  ],230  "confidence": 0.8,231  "notes": "No conclusion paragraphs were provided; the Emergent Themes section is treated as the conclusion. Fable 4 is the paper's main new model and contains propositions; Fables 1-3 summarize other work."232 },233 "deterministic_checks": {234  "roadmap_regex": false,235  "contribution_regex_in_intro": false,236  "magnitude_in_abstract": false,237  "abstract_n_sentences": 5,238  "intro_n_paragraphs": 10,239  "intro_n_words": 966,240  "causal_words_in_abstract": 0,241  "hedge_words_in_abstract": 0,242  "stars_mentioned": false,243  "clustered_se_mentioned": false,244  "internet_appendix_mentioned": true,245  "section_roles_rule": {246   "0": "introduction",247   "1": "other",248   "2": "other",249   "3": "other",250   "4": "other",251   "5": "theory",252   "6": "other",253   "7": "appendix"254  }255 },256 "schema_valid": true,257 "code_version": "87c73cd-dirty"258}
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