{"id":"W4231465659","doi":"10.32920/ryerson.14653161.v1","title":"Working the second shift, settling in Canada and other struggles; narratives of working African-immigrant mothers in Toronto.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"Immigration; Gender studies; Narrative; Qualitative research; Sociology; Face (sociological concept); Work (physics); Political science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00172036,0.0008151862,0.0005549401,0.001042725,0.02529282,0.005206581,0.001443074,0.001586049,0.003135242],"category_scores_gemma":[0.003621525,0.0005209278,0.0002913473,0.001919577,0.01075966,0.002005302,0.00602238,0.002755111,0.0002834942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0348336,"about_ca_system_score_gemma":0.02541747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.847233,"about_ca_topic_score_gemma":0.9433348,"domain_scores_codex":[0.9983546,0.0006490902,0.00004778285,0.0001070159,0.0002317928,0.0006096922],"domain_scores_gemma":[0.997475,0.0007893483,0.0003484668,0.00006104586,0.0002765761,0.001049509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001231716,0.000003466834,0.002008547,0.00002724978,0.000001879934,0.0009006813,0.9946572,0.000009882402,0.0002111134,0.0004333003,0.0009151686,0.0008190683],"study_design_scores_gemma":[3.489847e-7,0.000004001528,0.001688732,0.00003505374,0.000001602087,0.00007864019,0.9935993,0.000006088942,0.00003877994,0.0000202152,0.004523603,0.000003563706],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984648,0.001911792,0.0001089291,0.004844996,0.0001077029,0.00002792715,0.0001541128,0.000008845534,0.008187647],"genre_scores_gemma":[0.988187,0.001935004,0.0001544831,0.0007138335,0.00002375768,0.00003149117,0.00007509832,0.0000224829,0.008856812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.152767,"threshold_uncertainty_score":0.3073333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127999347052643,"score_gpt":0.3408137901549196,"score_spread":0.2795337966843932,"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."}}