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1{2 "validation_errors": [],3 "doc_id": "jof_12701",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:03:46+00:00",9 "source_sha256": "497b4c3ad229395c9477265ba438d5fec0d6daac46422a2a77bd9a3d8bb238c2",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 23221,12 "usage": {13  "input": 7582,14  "output": 1993,15  "cache_read": 3968,16  "cache_write": 017 },18 "cost_usd": 0.070982,19 "request_id": "req_011Cggq5TJEKhimziquDM3Kf",20 "annotation": {21  "genre": "empirical",22  "subfield": "behavioral_finance",23  "subfield_secondary": "financial_intermediation_banking",24  "primary_method": "survey_or_experiment",25  "identification": {26   "estimand": "Effect of nonincentivized rank feedback and of payout-relevant tournament incentives on the share invested in a risky asset, conditional on prior rank, compared with a linear-incentive baseline.",27   "strategy": "Randomized between-subject treatments (baseline, ranking, tournament) run as lab-in-the-field experiments with professionals, lab experiments with students, and further treatments varying frame, payoff recipient, and identity prime. Analysis uses random-effects panel regressions with AR(1) disturbances and probit models.",28   "key_assumptions": [29    "Random assignment of participants to treatments",30    "Experimental investment choices reflect real-world preferences",31    "Rank feedback is anonymous and does not affect payoffs in the ranking treatment"32   ],33   "threats_addressed": [34    "Professional identity importing (identity priming treatments)",35    "Investment framing (abstract lottery frame)",36    "Payoff consequences (family return treatment)",37    "Gender composition",38    "Subject-pool differences (student comparison)"39   ],40   "causal_language_strength": 4,41   "uses_causal_claim": true42  },43  "abstract_moves": {44   "question": {45    "present": true,46    "sentence_index": 147   },48   "gap": {49    "present": true,50    "sentence_index": 051   },52   "method": {53    "present": true,54    "sentence_index": 155   },56   "results": {57    "present": true,58    "sentence_index": 259   },60   "magnitude": {61    "present": false,62    "sentence_index": -163   },64   "contribution": {65    "present": false,66    "sentence_index": -167   }68  },69  "introduction": {70   "moves": [71    {72     "paragraph_index": 0,73     "move": "motivation"74    },75    {76     "paragraph_index": 0,77     "move": "mechanism_or_theory_sketch"78    },79    {80     "paragraph_index": 1,81     "move": "preview_of_approach"82    },83    {84     "paragraph_index": 1,85     "move": "preview_of_results"86    },87    {88     "paragraph_index": 2,89     "move": "preview_of_approach"90    },91    {92     "paragraph_index": 2,93     "move": "preview_of_results"94    },95    {96     "paragraph_index": 3,97     "move": "tension_or_puzzle"98    },99    {100     "paragraph_index": 3,101     "move": "robustness_mention"102    },103    {104     "paragraph_index": 5,105     "move": "contribution_statement"106    },107    {108     "paragraph_index": 5,109     "move": "related_literature_positioning"110    },111    {112     "paragraph_index": 6,113     "move": "related_literature_positioning"114    },115    {116     "paragraph_index": 7,117     "move": "related_literature_positioning"118    },119    {120     "paragraph_index": 8,121     "move": "policy_or_broader_implication"122    }123   ],124   "contribution_paragraph_index": 5,125   "contribution_types": [126    "new_evidence"127   ],128   "roadmap_present": false,129   "literature_positioning_location": "inside_introduction"130  },131  "section_roles": [132   {133    "idx": 0,134    "role": "introduction"135   },136   {137    "idx": 1,138    "role": "results"139   },140   {141    "idx": 2,142    "role": "results"143   },144   {145    "idx": 3,146    "role": "robustness"147   },148   {149    "idx": 4,150    "role": "conclusion"151   }152  ],153  "results_presentation": {154   "economic_significance_discussed": false,155   "statistical_significance_language": "unclear",156   "magnitude_statements_in_intro": false157  },158  "robustness": {159   "location": "main_text_section",160   "types": [161    "alternative_specification",162    "subsample",163    "other"164   ]165  },166  "tables": {167   "convention_notes": "Each table reports random-effects panel regressions with AR(1) disturbances, or probit estimates, of risky-asset share on treatment and rank variables. Notes define the dependent variable and the lagged return controls.",168   "units_stated_in_notes": true,169   "standard_errors_description": "unclear"170  },171  "figures": {172   "uncertainty_shown": "unclear"173  },174  "conclusion": {175   "bounded_claims": true,176   "policy_implications": true,177   "open_questions": true,178   "restates_contribution": true179  },180  "hedging": {181   "level": "moderate",182   "typical_devices": [183    "results suggest",184    "could",185    "may indicate",186    "consistent with",187    "less clear-cut"188   ]189  },190  "claim_evidence": [191   {192    "claim": "Underperforming professionals take more risk when a nonincentivized ranking is shown, relative to baseline",193    "evidence_type": "table",194    "evidence_ref": "Table I; Figure 1"195   },196   {197    "claim": "Students respond only to payout-relevant tournament rankings, not to pure rank feedback",198    "evidence_type": "table",199    "evidence_ref": "Table II; Figure 2"200   },201   {202    "claim": "Rank-driven risk-taking differs between professionals and students",203    "evidence_type": "table",204    "evidence_ref": "Table III"205   },206   {207    "claim": "The rank effect is robust to an abstract lottery frame and to family-return payoffs",208    "evidence_type": "table",209    "evidence_ref": "Table IV; Figure 4"210   },211   {212    "claim": "The rank effect persists under private-identity priming, with no gender differences",213    "evidence_type": "table",214    "evidence_ref": "Table V; Figure 5"215   },216   {217    "claim": "Professionals report stronger preferences for relative performance than students",218    "evidence_type": "figure",219    "evidence_ref": "Figure 3"220   }221  ],222  "structural_summary": "The introduction motivates the paper with tournament incentives and the financial crisis, then splits incentives into monetary and nonmonetary rank components. It previews the professional experiment, a student comparison, and identity-transfer tests, followed by three literature contributions and a list of policy implications. The body has one section per experiment (professionals, students), then a section of additional experiments on identity and framing. The conclusion restates findings, discusses possible sources of the effect (self-selection, industry culture), gives implications for regulators and employers, and calls for future research.",223  "writing_profile_keywords": [224   "lab-in-the-field experiment",225   "financial professionals",226   "rank incentives",227   "subject-pool comparison",228   "social identity",229   "policy implications"230  ],231  "confidence": 0.8,232  "notes": "The abstract text is truncated and includes the first line of the introduction. Introduction paragraph 4 is a fragment split into single-word items. The significance reporting convention is not visible in the table notes shown."233 },234 "deterministic_checks": {235  "roadmap_regex": false,236  "contribution_regex_in_intro": true,237  "magnitude_in_abstract": false,238  "abstract_n_sentences": 8,239  "intro_n_paragraphs": 16,240  "intro_n_words": 1330,241  "causal_words_in_abstract": 0,242  "hedge_words_in_abstract": 0,243  "stars_mentioned": false,244  "clustered_se_mentioned": false,245  "internet_appendix_mentioned": false,246  "section_roles_rule": {247   "0": "introduction",248   "1": "other",249   "2": "other",250   "3": "other",251   "4": "conclusion"252  }253 },254 "schema_valid": true,255 "code_version": "feb6c9e-dirty"256}
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