{"id":"W7161178669","doi":"10.5220/0014560400004931","title":"The Impact of Education on Social Mobility in the Border Areas of China and Canada","year":2025,"lang":"","type":"article","venue":"","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"China; Social mobility; Geographic mobility; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087032,0.00008757539,0.0001440876,0.00002971415,0.0007539563,0.0000286541,0.0001896372,0.00003842039,0.0001038175],"category_scores_gemma":[0.0004843011,0.00004522226,0.00006934685,0.0003182821,0.0003977533,0.00004550221,0.00002836851,0.00009378501,1.782566e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774716,"about_ca_system_score_gemma":0.005940782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719135,"about_ca_topic_score_gemma":0.9637073,"domain_scores_codex":[0.9986955,0.0003771467,0.0003566183,0.0001232425,0.0003094863,0.0001380367],"domain_scores_gemma":[0.9987606,0.0007015503,0.000125938,0.00009576049,0.0002998059,0.00001630097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000100734,0.001117108,0.1094013,0.00004959151,0.0001526757,2.796152e-8,0.044868,0.00007903203,0.00001519494,0.7261868,0.1097482,0.008281377],"study_design_scores_gemma":[0.00005218125,0.00003152284,0.928959,0.00001822278,0.00001010199,3.819093e-8,0.05518854,0.00003215361,0.00002961172,0.01405088,0.00158449,0.00004329663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136925,0.0003781609,0.000001478139,0.04082421,0.0005060732,0.0002245521,0.00002433643,7.318454e-7,0.04434797],"genre_scores_gemma":[0.9965382,0.0001590481,0.000002451391,0.0003261836,0.000142021,0.00002566469,0.000004231929,0.000001139095,0.002801127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8195576,"threshold_uncertainty_score":0.9996946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774663083000614,"score_gpt":0.4117149437043305,"score_spread":0.3839683128743244,"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."}}