{"id":"W2996198136","doi":"10.1016/j.worlddev.2019.104799","title":"The embodied counterfactual","year":2019,"lang":"en","type":"article","venue":"World Development","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre; McGill University","keywords":"Counterfactual thinking; Normative; Embodied cognition; Immediacy; Appeal; Sociology; Positive economics; Psychology; Social psychology; Epistemology; Political science; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001275569,0.00008028121,0.00009920799,0.00003183484,0.0008323542,0.000112776,0.0003048121,0.00002958461,0.0009519555],"category_scores_gemma":[0.00006251083,0.00005431824,0.00003073753,0.00016475,0.00009492072,0.00008896085,0.0000616298,0.000094148,0.002018546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530159,"about_ca_system_score_gemma":0.0003986555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00030397,"about_ca_topic_score_gemma":0.009637405,"domain_scores_codex":[0.9987237,0.0001030871,0.0002123686,0.0001485782,0.0004716085,0.0003406756],"domain_scores_gemma":[0.9994453,0.0001904102,0.00006024394,0.000169052,0.00006764439,0.00006735994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008361854,0.0001163489,0.1104959,0.00002151672,0.00009577047,0.000003264293,0.09189257,0.000005725683,0.00004912258,0.6197234,0.1149946,0.06251809],"study_design_scores_gemma":[0.0001172681,0.00000483018,0.02448549,0.00000792142,0.000001282615,7.054518e-8,0.00189271,0.000003279486,0.0001401592,0.0007908928,0.9724507,0.0001053819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1801665,0.00009833817,0.00003225742,0.002063982,0.001864434,0.0002604821,0.00000105591,0.00006769361,0.8154452],"genre_scores_gemma":[0.8680092,0.00002469959,0.0002126117,0.0008312424,0.0001178069,0.00001105635,0.000002007128,0.000005428773,0.1307859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8574561,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094774973762575,"score_gpt":0.3022047407198735,"score_spread":0.2712569909822477,"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."}}