{"id":"W2606085826","doi":"10.1080/21620555.2017.1307689","title":"Social Capital and Job Search in Urban China: The Strength-of-Strong-Ties Hypothesis Revisited","year":2017,"lang":"en","type":"article","venue":"Chinese Sociological Review","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interpersonal ties; Social capital; China; Seekers; Strong ties; Demographic economics; Human capital; Capital (architecture); Economics; Social psychology; Psychology; Labour economics; Sociology; Political science; Economic growth; Social science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001336232,0.0002396956,0.0003068644,0.002023383,0.0008830194,0.0009876982,0.0004455096,0.0003223028,0.001693844],"category_scores_gemma":[0.003160593,0.0001278648,0.0003029298,0.003056869,0.001247067,0.001158978,0.001157302,0.0003743157,0.00005573261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604544,"about_ca_system_score_gemma":0.001763351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03099077,"about_ca_topic_score_gemma":0.05130246,"domain_scores_codex":[0.9994653,0.0001756006,0.00003598874,0.00008842913,0.0001169332,0.0001177763],"domain_scores_gemma":[0.9981301,0.0006368785,0.0006701825,0.00007657556,0.0001499255,0.0003364072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005818612,0.00006250859,0.956674,0.0002908618,0.0001740428,0.000241804,0.004612426,0.0007491756,0.0002454573,0.007907334,0.0005274783,0.02845675],"study_design_scores_gemma":[0.000004487673,0.00003307632,0.9931887,0.00008011263,0.00006348373,0.00004309064,0.003236761,0.0009645059,0.00004749948,0.001475313,0.0008565419,0.000006488934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935076,0.002478011,0.0003363522,0.0009574475,0.00002223285,0.00001176253,0.00006740723,0.00000214978,0.002616908],"genre_scores_gemma":[0.9989672,0.0007926882,0.00004724022,0.00002461188,0.00001669511,0.000004836831,0.00002218685,4.091686e-7,0.0001242426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03099077,"threshold_uncertainty_score":0.06162077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337269301819598,"score_gpt":0.3758162759607196,"score_spread":0.3024435829425237,"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."}}