{"id":"W2593861561","doi":"","title":"Practices on the Periphery: Highly Educated Chinese ImmigrantWomen Making Occupational Niches in Canada","year":2007,"lang":"en","type":"article","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0006239684,0.0002278835,0.0003245286,0.00103122,0.01806188,0.00494429,0.001134605,0.0008329398,0.004472837],"category_scores_gemma":[0.001499998,0.0002182131,0.0001759245,0.001837348,0.004271957,0.001144012,0.003867833,0.001275219,0.0002744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01827426,"about_ca_system_score_gemma":0.04971758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9498071,"about_ca_topic_score_gemma":0.9889563,"domain_scores_codex":[0.9988555,0.000155342,0.00002007424,0.00008486251,0.000123878,0.0007604033],"domain_scores_gemma":[0.9983498,0.0001286207,0.0001703219,0.00004569862,0.00033002,0.0009755276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002536441,0.0001815387,0.2187561,0.00005329308,0.00001751292,0.001765683,0.7358494,0.0001244753,0.0023554,0.004935015,0.00314592,0.03256201],"study_design_scores_gemma":[0.000006089125,0.00003015792,0.07918771,0.00004570443,0.000009726349,0.0001096369,0.9150652,0.0001268686,0.0001491642,0.000314108,0.004938955,0.00001670473],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957983,0.00007172026,0.00002312201,0.0004439866,0.00000592459,0.000006259805,0.00002016464,0.00000158989,0.003628913],"genre_scores_gemma":[0.9976011,0.0001085657,0.00005783381,0.0001058874,0.000002219871,0.000003085354,0.00001886991,0.000002651563,0.00209971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05019289,"threshold_uncertainty_score":0.1325897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566465919521882,"score_gpt":0.3387266015249576,"score_spread":0.3030619423297388,"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."}}