{"id":"W4361298012","doi":"10.1111/rego.12522","title":"Business, power, and private regulatory governance: Shaping subjectivities and limiting possibilities in the gold supply chain","year":2023,"lang":"en","type":"article","venue":"Regulation & Governance","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Governmentality; Corporate governance; Power (physics); Limiting; Sociology; Political science; Public relations; Law and economics; Economics; Law; Management; Politics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02532531,0.0005023525,0.0005900141,0.00315295,0.01079277,0.02080115,0.001340343,0.003926464,0.002973084],"category_scores_gemma":[0.01910878,0.0004460891,0.0003721378,0.002497435,0.1080671,0.01238363,0.01024421,0.004167289,0.0002822945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0106127,"about_ca_system_score_gemma":0.006390273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005078177,"about_ca_topic_score_gemma":0.004410331,"domain_scores_codex":[0.9737707,0.01821866,0.0006578015,0.002129537,0.003942156,0.001281076],"domain_scores_gemma":[0.9724705,0.02251046,0.001311628,0.002056187,0.001075677,0.0005756113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001446957,0.00001440769,0.0005999708,0.00004315345,0.000005555178,0.0001597278,0.1123844,0.0003077109,0.0005734712,0.8806243,0.0006099294,0.004662766],"study_design_scores_gemma":[0.00003241326,0.00004677161,0.001577378,0.0005136364,0.00002126409,0.0001918629,0.178131,0.001894613,0.002626717,0.6650289,0.1498836,0.00005196511],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4872251,0.002627074,0.05014541,0.03997052,0.0002651637,0.0001332939,0.00005492508,0.0001260868,0.4194524],"genre_scores_gemma":[0.9941105,0.0002010249,0.001038832,0.0004461686,0.00004649837,0.00003682311,0.000008158629,0.00003337012,0.004078545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02532531,"threshold_uncertainty_score":0.1339347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815953091755005,"score_gpt":0.234772225463559,"score_spread":0.216612694546009,"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."}}