{"id":"W2037333886","doi":"","title":"Coming into an inheritance: family support and Chinese Heritage Language learning","year":2015,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Habitus; Sociology; Transition (genetics); Politics; Inheritance (genetic algorithm); Heritage language; Immigration; Field (mathematics); Cultural capital; Pedagogy; Gender studies; Social science; Political science","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":[0.0003617985,0.0000800974,0.0001546505,0.0001836216,0.0002650903,0.00001407875,0.0002581934,0.0001751228,0.00007927549],"category_scores_gemma":[0.0002625611,0.00008929618,0.00002326642,0.0002767001,0.0004556941,0.0001535357,0.0001047453,0.0002097818,0.0000246817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000575478,"about_ca_system_score_gemma":0.0001840729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009224387,"about_ca_topic_score_gemma":0.004013841,"domain_scores_codex":[0.9993612,0.00007507639,0.00008525621,0.0001849206,0.0001230878,0.0001704263],"domain_scores_gemma":[0.9994876,0.0000230114,0.00008129057,0.0001625121,0.00009743851,0.0001480864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006452068,0.0001280326,0.6291583,0.0000280278,0.00002964569,0.0000493359,0.2863613,0.000007606886,0.002379942,0.009641335,0.0004227432,0.07172923],"study_design_scores_gemma":[0.001317985,0.0001604831,0.1295979,0.00003338576,0.00002123672,0.000005048542,0.5725953,0.0001135639,0.0001825083,0.002238845,0.2933964,0.0003373116],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677902,0.00007667885,0.00004286891,0.00134346,0.00007199623,0.00008794436,0.000002179094,0.0001634179,0.03042129],"genre_scores_gemma":[0.994318,0.00008477527,0.002637553,0.00005102612,0.00003517783,1.939109e-7,0.000003970067,0.000005501925,0.002863776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4995603,"threshold_uncertainty_score":0.9973733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291381414547174,"score_gpt":0.3568593676089944,"score_spread":0.3277212261542771,"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."}}