{"id":"W21279882","doi":"10.4000/interventionseconomiques.1912","title":"Winners and Losers: Literacy and Enduring Labour Market Inequality in Historical Perspective","year":2013,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007456496,0.000141528,0.0002501547,0.00008158989,0.0002084612,0.0003120088,0.0001629537,0.0001309755,0.001442186],"category_scores_gemma":[0.0003299858,0.0001533317,0.0001362722,0.0002732018,0.0005422983,0.001596415,0.0001173067,0.0002000875,0.00001990175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516312,"about_ca_system_score_gemma":0.00007484623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4665613,"about_ca_topic_score_gemma":0.05735205,"domain_scores_codex":[0.9984308,0.0003883858,0.0003893799,0.0003746336,0.00008607584,0.0003306634],"domain_scores_gemma":[0.9992349,0.0002121694,0.0001899016,0.0001016957,0.00009811023,0.0001632472],"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":[0.00001847524,0.0003834292,0.2284294,0.0002385499,0.0000613,0.00001043544,0.07808969,0.000001566001,0.00001240874,0.579717,0.01280332,0.1002343],"study_design_scores_gemma":[0.0004205088,0.0001617314,0.7070154,0.0008802051,0.00002339262,0.00000354774,0.03859068,0.0002351297,0.00000927549,0.1682958,0.0839799,0.0003844698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226421,0.01960273,0.00005771957,0.04743338,0.0007037064,0.0002478141,0.00001942514,0.00002499085,0.009268166],"genre_scores_gemma":[0.9571585,0.002695282,0.0005057183,0.0001410152,0.0002677432,0.00004467017,3.971209e-7,0.00000717842,0.03917948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785859,"threshold_uncertainty_score":0.9994707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05346494751953398,"score_gpt":0.3520676876719305,"score_spread":0.2986027401523965,"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."}}