{"id":"W2770740075","doi":"10.1080/01419870.2017.1400086","title":"Labour migration, sex, and polygyny: negotiating patriarchy in Tajikistan","year":2017,"lang":"en","type":"article","venue":"Ethnic and Racial Studies","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Polygyny; Patriarchy; Negotiation; Institution; Gender studies; Sociology; Reification (Marxism); Political science; Law; Demography; Population; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007791411,0.0001310739,0.0002845773,0.0000250407,0.003953746,0.0001739775,0.000124945,0.00008627152,0.000006877922],"category_scores_gemma":[0.002122196,0.0001006876,0.00002954248,0.00007333125,0.001108542,0.0002905799,0.0002240835,0.0001601699,0.000002819299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007956845,"about_ca_system_score_gemma":0.00002842233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02993357,"about_ca_topic_score_gemma":0.1113398,"domain_scores_codex":[0.998868,0.0001629449,0.0001985873,0.0002342979,0.0002260947,0.000310064],"domain_scores_gemma":[0.9993201,0.0002685191,0.0001463279,0.00009174742,0.0001006254,0.0000726221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002569295,0.00002823279,0.2930869,0.00004556097,0.0001313134,0.00001172134,0.6285924,0.000002182409,0.00005095577,0.03199369,0.0008236599,0.04520776],"study_design_scores_gemma":[0.0005199461,0.00002995729,0.7648818,0.00004585751,0.00002359913,3.146469e-7,0.1854778,0.00001115003,0.000007933892,0.003215199,0.04555912,0.0002273021],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947156,0.03679504,0.000005513774,0.01168152,0.0003830316,0.0002799245,0.000007874789,0.0000375834,0.003653525],"genre_scores_gemma":[0.972266,0.02443447,0.00009289682,0.00009729301,0.0004955053,0.00002147295,5.679976e-7,0.00000548195,0.002586371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4717949,"threshold_uncertainty_score":0.9973429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.083638196602274,"score_gpt":0.4165120107526469,"score_spread":0.3328738141503729,"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."}}