{"id":"W2317188857","doi":"10.1177/0896920513504603","title":"Interrogating the Algorithm: Debt, Derivatives and the Social Reconstruction of Stock Market Trading","year":2014,"lang":"en","type":"article","venue":"Critical Sociology","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Debt; Politics; Economics; Stock market; Algorithmic trading; Harm; Derivatives market; High-frequency trading; Institution; Stock (firearms); Alternative trading system; Market economy; Finance; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008721311,0.00008560078,0.000322862,0.00003018002,0.0003575247,0.00001921912,0.0001240886,0.0001204953,0.0001400108],"category_scores_gemma":[0.0003492883,0.00006150476,0.00008258365,0.00004872906,0.002409969,0.00007049143,0.00004466412,0.0002101746,0.000004795566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002044919,"about_ca_system_score_gemma":0.000006322378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004510878,"about_ca_topic_score_gemma":0.000005920709,"domain_scores_codex":[0.9990822,0.0001593247,0.0003537726,0.0001853954,0.00001643747,0.0002028657],"domain_scores_gemma":[0.9987081,0.001020875,0.0001329904,0.00009187064,0.00002409559,0.0000220579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001833426,0.00001137374,0.001339106,0.00001827343,0.00002510484,2.060148e-7,0.01090575,1.388776e-7,0.00001641262,0.954871,0.0002682769,0.03252601],"study_design_scores_gemma":[0.001947588,0.0001470681,0.03335228,0.00003338542,0.00003248959,0.00004886949,0.00523271,0.05970569,0.00008682803,0.8898269,0.009268839,0.0003173742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054974,0.0009584639,0.03988429,0.008795366,0.0006529697,0.0001517628,0.00002487188,0.00002404649,0.04401081],"genre_scores_gemma":[0.9973814,0.0000497511,0.00161793,0.0005932861,0.0002737562,0.00001536312,9.955087e-7,0.000009258308,0.00005819578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09188404,"threshold_uncertainty_score":0.8879629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272774213986448,"score_gpt":0.2681070153199638,"score_spread":0.2353792731800993,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}