{"id":"W2110224122","doi":"10.1177/0001699305059945","title":"Social Background, Credential Inflation and Educational Strategies","year":2005,"lang":"en","type":"article","venue":"Acta Sociologica","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Credential; Value (mathematics); Inflation (cosmology); Grade inflation; Educational attainment; Economics; Differential (mechanical device); Demographic economics; Social mobility; Transition (genetics); Social class; Psychology; Higher education; Sociology; Economic growth; Political science; Social science; Statistics; Mathematics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003427902,0.00007389985,0.00008666651,0.00002610203,0.001449115,0.0001256585,0.00009084915,0.0001010957,0.00107893],"category_scores_gemma":[0.0001200327,0.00006664449,0.00004088762,0.0000589863,0.0004097834,0.0004213944,0.00003035108,0.00008378361,0.00005860783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009957231,"about_ca_system_score_gemma":0.0002528492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002953412,"about_ca_topic_score_gemma":0.0007297645,"domain_scores_codex":[0.9991963,0.0001395558,0.0001542475,0.0001474802,0.0001908719,0.0001715511],"domain_scores_gemma":[0.999499,0.0002127307,0.0000665885,0.00003212189,0.0001501211,0.00003940794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007886031,0.00005800127,0.002890408,0.000002814318,0.00002568387,4.748678e-8,0.02341885,0.00000529255,0.0003216563,0.9313342,0.04112851,0.0008066797],"study_design_scores_gemma":[0.0001942928,0.00003647996,0.3352754,0.000004426514,0.00002039811,0.000001027275,0.07086102,0.00002286644,0.00002078193,0.1640932,0.4291882,0.0002819022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339509,0.0001519489,0.00002981024,0.1116955,0.0002315398,0.00007805921,0.000005659705,0.00003136631,0.05382525],"genre_scores_gemma":[0.9904346,0.0001060292,0.0005248493,0.0008074633,0.004064665,0.00003016516,0.0000481535,0.000003017743,0.003981059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.767241,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112235218629932,"score_gpt":0.4187749931859038,"score_spread":0.3065397745559719,"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."}}