{"id":"W4229998809","doi":"10.32920/ryerson.14656350.v1","title":"Silkscarf: Bringing Black hair Into the Gig Economy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Agency (philosophy); Black box; Product (mathematics); Service (business); Business; Feeling; Service provider; Advertising; Computer science; Sociology; Marketing; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001356645,0.0003619315,0.0001488169,0.0006999663,0.002455683,0.003736979,0.0005332357,0.0008436229,0.02790762],"category_scores_gemma":[0.001979137,0.0001414646,0.000239274,0.0005373683,0.001016753,0.002826137,0.003294335,0.0008030526,0.004330918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006772988,"about_ca_system_score_gemma":0.001298507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334316,"about_ca_topic_score_gemma":0.01227003,"domain_scores_codex":[0.9994153,0.0002181697,0.000008637787,0.00003537594,0.0002102907,0.0001122128],"domain_scores_gemma":[0.9993303,0.0001870382,0.00004237875,0.00007325087,0.0001081889,0.0002588562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003387336,0.0004663303,0.01065588,0.0004692587,0.00002768084,0.001434307,0.04180671,0.0002469979,0.0143924,0.06591768,0.2191138,0.6451302],"study_design_scores_gemma":[0.00003867059,0.0004305987,0.01091706,0.0002175851,0.00002074401,0.0007088064,0.04686316,0.0008175365,0.003716229,0.009519091,0.9267151,0.00003528456],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4332559,0.001994114,0.01958302,0.02586594,0.001100656,0.0004348061,0.0007655635,0.002885485,0.5141146],"genre_scores_gemma":[0.5777695,0.002851619,0.04737772,0.002929223,0.000301892,0.0003034145,0.0006025187,0.0009790632,0.3668851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02790762,"threshold_uncertainty_score":0.09336025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908306166640263,"score_gpt":0.2947027877678344,"score_spread":0.2656197261014318,"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."}}