{"id":"W2002956604","doi":"10.1007/s12134-011-0189-1","title":"Immigrant Youth and Employment: Lessons Learned from the Analysis of LSIC and 82 Lived Stories","year":2011,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University; University of Manitoba; University of British Columbia","funders":"","keywords":"Immigration; Credential; Job market; Work experience; Work (physics); Sociology; Political science; Demographic economics; Economics","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":[0.002677852,0.0002499506,0.0004078125,0.0006927907,0.0003140802,0.0004121934,0.0003519651,0.000202838,0.0003384583],"category_scores_gemma":[0.001953104,0.0002041869,0.0002106098,0.000437781,0.0004452999,0.001333928,0.00004585303,0.0004247838,0.000001792048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637456,"about_ca_system_score_gemma":0.0002838399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02653628,"about_ca_topic_score_gemma":0.1485077,"domain_scores_codex":[0.9970156,0.0008663084,0.001104774,0.0003170551,0.0005117049,0.0001845912],"domain_scores_gemma":[0.9959587,0.001114018,0.001239361,0.0001714093,0.001356433,0.000160053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004219949,0.0003350676,0.1477274,0.00001051232,0.001200142,0.000004038252,0.5930918,0.0002218098,0.006136592,0.2364161,0.001057187,0.01337736],"study_design_scores_gemma":[0.001438954,0.0004212965,0.7966152,0.0004091246,0.001044151,0.00005159001,0.131463,0.023005,0.004346492,0.01972328,0.02095994,0.0005219441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377289,0.0006846031,0.04563852,0.01235902,0.0004168302,0.0002456473,0.0001519976,0.00002902333,0.002745494],"genre_scores_gemma":[0.983066,0.01136592,0.003313994,0.0007766606,0.0003490186,0.00002789209,0.0002223045,0.0000177515,0.0008604672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6488879,"threshold_uncertainty_score":0.9799461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08408129411972,"score_gpt":0.3382206554113093,"score_spread":0.2541393612915893,"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."}}