{"id":"W4404172538","doi":"10.1145/3686999","title":"El costo de la independencia: Latino house-cleaners in Technology-Mediated Labour Markets","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Solidarity; Immigration; Flexibility (engineering); Precarity; Identity (music); Collective action; Work (physics); Sociology; Political science; Gender studies; Engineering; Economics; Management","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":[0.002356811,0.0002919991,0.0003151255,0.000803064,0.01044011,0.009976046,0.0009657278,0.001418893,0.0091924],"category_scores_gemma":[0.002852038,0.0002381279,0.0002514911,0.0009207496,0.0114914,0.004600986,0.008138993,0.001288744,0.0004967237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005030967,"about_ca_system_score_gemma":0.00431703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05451234,"about_ca_topic_score_gemma":0.0944651,"domain_scores_codex":[0.9983038,0.0008843059,0.00002857668,0.0001305766,0.0001391586,0.0005136321],"domain_scores_gemma":[0.9987198,0.0005167322,0.0002375052,0.0000716023,0.00009800641,0.0003563676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001296525,0.0001198258,0.03349281,0.0001169853,0.00001504266,0.002333489,0.8779761,0.0001301391,0.001381986,0.05282853,0.00280777,0.02866774],"study_design_scores_gemma":[0.00001295183,0.00003158889,0.00829751,0.0001171309,0.00000812222,0.0002124046,0.9520826,0.0001374293,0.0001665023,0.003182977,0.03573345,0.0000172199],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471352,0.0007488222,0.0006307766,0.007358305,0.00005540893,0.00002014966,0.00002672834,0.0000105127,0.04401413],"genre_scores_gemma":[0.9923756,0.0003184117,0.00013974,0.0004310863,0.00001373942,0.00001412086,0.000009181661,0.000009682888,0.006688509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05451234,"threshold_uncertainty_score":0.1083901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874288782359,"score_gpt":0.3170758547244689,"score_spread":0.2983329669008788,"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."}}