{"id":"W2572795991","doi":"10.7202/1038528ar","title":"Analyzing Exclusion in Global Worker Health Policy","year":2017,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Framing (construction); Social exclusion; Sociology; Craft; Human rights; Normative; Meaning (existential); Political science; Public relations; Law and economics; Public administration; Law; Epistemology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01552324,0.0005543689,0.0006772113,0.004473737,0.008174827,0.00994627,0.001189596,0.003659549,0.005198617],"category_scores_gemma":[0.01247008,0.0002617273,0.0005600397,0.005567831,0.02799475,0.009862007,0.01873286,0.00400544,0.000263597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01374595,"about_ca_system_score_gemma":0.0125404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034192,"about_ca_topic_score_gemma":0.009681461,"domain_scores_codex":[0.9897047,0.006792014,0.0001986463,0.0004109106,0.0009548693,0.001938915],"domain_scores_gemma":[0.9920419,0.006010301,0.0008281589,0.0003448346,0.0003760711,0.000398705],"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":[0.00002463699,0.00003733359,0.001700183,0.0001180803,0.00001227587,0.0001394939,0.02653998,0.001123551,0.00005657255,0.9579886,0.001650737,0.01060861],"study_design_scores_gemma":[0.00002519562,0.00006394204,0.006117844,0.001166146,0.00002385096,0.00006207656,0.06752107,0.001152228,0.0002730022,0.7600233,0.1635402,0.00003108877],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2502869,0.01856397,0.02018093,0.1801775,0.0008466514,0.0001844823,0.0001630214,0.00004810336,0.5295485],"genre_scores_gemma":[0.9754986,0.004932533,0.001922596,0.007822693,0.0003815131,0.0002420085,0.00007932486,0.00004901691,0.009071629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01552324,"threshold_uncertainty_score":0.09973437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09140745956816665,"score_gpt":0.4516049794603932,"score_spread":0.3601975198922266,"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."}}