{"id":"W2527608022","doi":"10.4000/vertigo.17577","title":"De la dette au sale boulot : exploitation des ressources humaines et naturelles","year":2016,"lang":"fr","type":"article","venue":"VertigO","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009781258,0.0003692466,0.0003355673,0.0008020301,0.003291215,0.003099261,0.0006633801,0.001193015,0.007522273],"category_scores_gemma":[0.002827236,0.0001760416,0.0003318517,0.0008732021,0.004353202,0.001320992,0.002574787,0.0008846835,0.0007586942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009792,"about_ca_system_score_gemma":0.00130148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0248347,"about_ca_topic_score_gemma":0.06327794,"domain_scores_codex":[0.9988298,0.000319042,0.00002286347,0.0001504302,0.0005391062,0.0001387841],"domain_scores_gemma":[0.9982594,0.0006735683,0.0004571499,0.0001198693,0.0003063579,0.000183733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000923802,0.000341947,0.3279711,0.0009064819,0.0003655856,0.007847426,0.1085595,0.006172974,0.04186414,0.1705969,0.00950359,0.3249466],"study_design_scores_gemma":[0.00002346535,0.0007749278,0.5833611,0.0006246779,0.000118013,0.007846058,0.07738692,0.003969273,0.009508115,0.04401204,0.2721569,0.0002185876],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8953665,0.003526042,0.006856546,0.003058176,0.0001276715,0.00002437825,0.00008966464,0.00002362073,0.0909273],"genre_scores_gemma":[0.9668229,0.00182465,0.001800517,0.0002014044,0.0000522882,0.00001509594,0.00005281643,0.00001978868,0.02921049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9967088,"threshold_uncertainty_score":0.0493803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267719622023856,"score_gpt":0.2410133011268097,"score_spread":0.2283361049065711,"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."}}