{"id":"W4393986578","doi":"10.1007/s10672-024-09501-9","title":"Immigrant Women in IT: Discrimination in Work, and Solutions for their Employment","year":2024,"lang":"en","type":"article","venue":"Employee Responsibilities and Rights Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Immigration; Work (physics); Labour economics; Demographic economics; Employment discrimination; Psychology; Economics; Political science; Sociology; Business; Law; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002330028,0.0000879716,0.0001386579,0.0002774851,0.0004568568,0.0004325529,0.00005516568,0.00006154332,0.00003182047],"category_scores_gemma":[0.00005322497,0.00006039144,0.00004369248,0.0001728271,0.0001855961,0.0008997965,0.00001292677,0.0001435276,0.0000010921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624183,"about_ca_system_score_gemma":0.0001567979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002663633,"about_ca_topic_score_gemma":0.01098677,"domain_scores_codex":[0.9988959,0.0001376426,0.0003107197,0.0001431814,0.0001018941,0.0004105919],"domain_scores_gemma":[0.9993533,0.0004378453,0.00002605061,0.00004409565,0.00002734002,0.0001113485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005873337,0.0001129232,0.006532038,0.000104802,0.0000418582,0.0000210699,0.5817901,0.00004293557,0.000006850678,0.3225156,0.0007515522,0.08749288],"study_design_scores_gemma":[0.0009447106,0.0002726764,0.03532825,0.0006632365,0.00001143128,0.00002188391,0.08601519,0.0001787455,0.00001699188,0.5910955,0.2851438,0.0003075299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892824,0.001375834,0.0002376558,0.006531193,0.0002180397,0.0002814851,0.00001555565,0.00001893332,0.002038897],"genre_scores_gemma":[0.9970802,0.0007442386,0.00004401479,0.00003940402,0.00008805739,0.00004112762,0.00000226163,0.000005453946,0.001955251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495775,"threshold_uncertainty_score":0.6130874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079710501478766,"score_gpt":0.2885875499390803,"score_spread":0.2577904449242926,"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."}}