{"id":"W2523991407","doi":"","title":"Learning as Socially Organized Practices: Chinese Immigrants Fitting into the Engineering Market in Canada","year":2010,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Engineering; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001397006,0.0005339345,0.0004908931,0.001369667,0.02325619,0.004721216,0.001250427,0.001190095,0.003403762],"category_scores_gemma":[0.001709729,0.0002754532,0.0003638618,0.002573792,0.008780989,0.001995105,0.004866838,0.002182563,0.0002038266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02554753,"about_ca_system_score_gemma":0.03926431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9089428,"about_ca_topic_score_gemma":0.9581565,"domain_scores_codex":[0.9987887,0.0001960229,0.00003697601,0.000139015,0.0002225057,0.000616739],"domain_scores_gemma":[0.9986557,0.0002282908,0.0001866503,0.00005011948,0.0003051861,0.0005739832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004372115,0.0000503609,0.02903748,0.00004948692,0.000006549082,0.001216631,0.957504,0.0000583843,0.0008897,0.002081775,0.000806854,0.008254994],"study_design_scores_gemma":[0.000003619153,0.00003252508,0.01981223,0.00004049784,0.000007466228,0.00009286258,0.9738287,0.0001250413,0.0001211619,0.000219241,0.005688553,0.00002810264],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967037,0.0001145212,0.00005255109,0.0005963321,0.00001175856,0.00001273915,0.00002545529,0.000002598555,0.002480248],"genre_scores_gemma":[0.9965335,0.000236409,0.0001120358,0.0003025453,0.000004522432,0.00001218631,0.00003966152,0.0000049978,0.00275412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09105718,"threshold_uncertainty_score":0.1853612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00949744512991311,"score_gpt":0.3541373263729344,"score_spread":0.3446398812430213,"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."}}