{"id":"W3177286320","doi":"10.22215/datapower.v2017i0.80","title":"2 Big Data, governmentality and social acceleration: the industrialization of politico-institutional mediation","year":2017,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sociology; Reproduction; Mediation; Politics; Epistemology; Political science; Political economy; Positive economics; Social science; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005522852,0.0005252906,0.0004006118,0.002756477,0.005052737,0.01726403,0.001260249,0.003575286,0.01036139],"category_scores_gemma":[0.008347628,0.0003834066,0.0008323154,0.003771529,0.03454588,0.01896744,0.01083696,0.004937125,0.001487979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004394458,"about_ca_system_score_gemma":0.00510768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906004,"about_ca_topic_score_gemma":0.002390628,"domain_scores_codex":[0.9945809,0.002887679,0.0001461887,0.0008166928,0.0008428803,0.0007256602],"domain_scores_gemma":[0.9933695,0.003542437,0.0008333878,0.001243282,0.0005656106,0.0004458171],"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":[0.000009246995,0.00001668512,0.001410628,0.00004563965,0.000003792727,0.0001346389,0.01289879,0.0001280226,0.00007825465,0.9755059,0.002191812,0.007576539],"study_design_scores_gemma":[0.00001788034,0.00003296755,0.00336689,0.0004826262,0.00001698034,0.0004558885,0.02587373,0.001181489,0.0003870167,0.692336,0.2758137,0.00003483279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1355,0.01242324,0.0747976,0.1200138,0.001424893,0.0002054534,0.0004021129,0.0003934912,0.6548395],"genre_scores_gemma":[0.9698906,0.003745489,0.007657568,0.004234992,0.0008000555,0.0001859787,0.0001801729,0.0001684818,0.01313666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9949473,"threshold_uncertainty_score":0.03466225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3894618647428302,"score_gpt":0.4426334125641705,"score_spread":0.05317154782134026,"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."}}