{"id":"W3130988207","doi":"","title":"Skilled Japanese immigrants in Vancouver: Employment hardships and settlement experiences","year":2020,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Demographic economics; Labour economics; Political science; Sociology; Gender studies; Economics; Law; Finance","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":[0.0005964712,0.0003449533,0.0004275424,0.0007469353,0.01872303,0.003766385,0.0006835636,0.0007201429,0.003069191],"category_scores_gemma":[0.001148953,0.0003099482,0.0001618292,0.001904483,0.004111269,0.000706787,0.004253448,0.001356895,0.0003018199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009415426,"about_ca_system_score_gemma":0.0161643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8968567,"about_ca_topic_score_gemma":0.9739395,"domain_scores_codex":[0.9994187,0.0001150582,0.00001930298,0.00004601828,0.00009758909,0.0003033149],"domain_scores_gemma":[0.9991993,0.00007886004,0.00007583816,0.00001430953,0.0001809071,0.0004507437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005657717,0.00005440388,0.06196216,0.00009731977,0.00001035918,0.002193754,0.9231671,0.00003802736,0.0007374092,0.0005477031,0.0018194,0.009315812],"study_design_scores_gemma":[0.000001657769,0.00001435255,0.02405209,0.0000428701,0.000002765599,0.00009937063,0.9733542,0.00001040095,0.00002178935,0.00002979166,0.002362606,0.000008086548],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957099,0.00022899,0.00001405519,0.0003575207,0.0000134905,0.000009697585,0.0000288372,0.000001442937,0.003636064],"genre_scores_gemma":[0.9937912,0.0008095734,0.00005108684,0.0002822267,0.000005057496,0.00001455045,0.0000590022,0.000003976286,0.004983462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031433,"threshold_uncertainty_score":0.2075015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185660140675256,"score_gpt":0.2494400648502885,"score_spread":0.2375834634435359,"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."}}