{"id":"W2023725582","doi":"10.1016/j.healthplace.2009.05.005","title":"Not all social capital is good capital","year":2009,"lang":"en","type":"article","venue":"Health & Place","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal; Queen's University","funders":"","keywords":"Social capital; Social mobility; Educational attainment; Demographic economics; Metropolitan area; Social status; Social position; Psychology; Association (psychology); Individual capital; Social psychology; Economic capital; Sociology; Human capital; Economics; Social relation; Economic growth; Geography; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003571822,0.000444627,0.0006776736,0.001139455,0.002647741,0.006749569,0.0006702879,0.00173897,0.01220536],"category_scores_gemma":[0.01435291,0.000234804,0.0003775198,0.00134987,0.008992,0.007520138,0.003711364,0.002044753,0.0008733356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212189,"about_ca_system_score_gemma":0.003522672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418741,"about_ca_topic_score_gemma":0.007937171,"domain_scores_codex":[0.997211,0.0008253489,0.0001068179,0.000348441,0.0006789601,0.0008294164],"domain_scores_gemma":[0.9848733,0.004408205,0.002371555,0.002135386,0.001961214,0.004250302],"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":[0.0001102394,0.0002099255,0.02692025,0.0003234299,0.0003332006,0.0002540495,0.002128905,0.001331908,0.0003845829,0.8533424,0.04988822,0.06477282],"study_design_scores_gemma":[0.00003302679,0.00008872029,0.01608573,0.0002307939,0.0001089923,0.0001398926,0.003499832,0.0005148768,0.000351349,0.8921828,0.08672871,0.00003527606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2349448,0.005412736,0.01492265,0.3261868,0.003968401,0.0001256874,0.001410378,0.0001872407,0.4128414],"genre_scores_gemma":[0.9787714,0.001070002,0.0009371026,0.006471551,0.0007331172,0.00002999174,0.0001017929,0.00001549722,0.01186963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01220536,"threshold_uncertainty_score":0.04083103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077668294503127,"score_gpt":0.3773535163843366,"score_spread":0.3365768334393053,"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."}}