{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006258991,0.000700969,0.0009245182,0.001106164,0.0009520426,0.005061376,0.001634135,0.003342242,0.02069243],"category_scores_gemma":[0.02875763,0.0003641915,0.000922348,0.001044149,0.004298059,0.007448129,0.002574535,0.003492314,0.001122691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331351,"about_ca_system_score_gemma":0.001333346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149457,"about_ca_topic_score_gemma":0.0008457502,"domain_scores_codex":[0.994375,0.003141915,0.0002304803,0.001069494,0.0008436682,0.0003394801],"domain_scores_gemma":[0.9912344,0.005239937,0.0006052355,0.00216628,0.0006058794,0.0001482387],"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":[0.00001153787,0.000006271202,0.00007040188,0.00001273019,0.000009468898,0.00002128329,0.00003014135,0.0006962296,0.00003400149,0.9966308,0.0004893829,0.00198769],"study_design_scores_gemma":[0.00001182628,0.000010773,0.000104271,0.0000235317,0.00001237867,0.00004764495,0.00003356237,0.0043054,0.0001165983,0.9910149,0.004313153,0.000005986041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04416136,0.001797073,0.4790106,0.02092914,0.001627905,0.0001998483,0.0009670711,0.0001840578,0.451123],"genre_scores_gemma":[0.8980764,0.0009396601,0.06145579,0.002507903,0.0005691958,0.0003733543,0.0002922866,0.00009180338,0.0356936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02069243,"threshold_uncertainty_score":0.06922311,"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."}}