{"id":"W2470911944","doi":"10.1590/s0034-759020160302","title":"IMPROVING FINANCIAL INCLUSION: TOWARDS A CRITICAL FINANCIAL EDUCATION FRAMEWORK","year":2016,"lang":"en","type":"article","venue":"Revista de Administração de Empresas","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Financial inclusion; Socioeconomic status; Financial services; Information and Communications Technology; Business; Empirical research; Inclusion (mineral); Financial literacy; ICTS; Finance; Economic growth; Economics; Political science; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01329336,0.0009407479,0.0005316079,0.004453842,0.005435837,0.01042941,0.002153089,0.00328573,0.004184219],"category_scores_gemma":[0.0124091,0.0003075677,0.0004899311,0.001821513,0.02606635,0.008316368,0.01061045,0.004317832,0.0003130733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01109962,"about_ca_system_score_gemma":0.02558336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005054453,"about_ca_topic_score_gemma":0.007467811,"domain_scores_codex":[0.9928244,0.004832164,0.0001993286,0.0003883711,0.0007865193,0.0009693035],"domain_scores_gemma":[0.9865952,0.006881457,0.001438175,0.00068456,0.001726959,0.002673706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002332833,0.0004411992,0.003548056,0.0003925222,0.00001064114,0.0001767507,0.01759344,0.0007701245,0.0002456747,0.9298031,0.003148322,0.04384687],"study_design_scores_gemma":[0.00004006525,0.0001377379,0.005613498,0.002076706,0.00002508599,0.0001398963,0.03399625,0.002554813,0.0008824019,0.8383695,0.1161241,0.00003981709],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1782802,0.00796992,0.1343721,0.3170022,0.0009944221,0.00107454,0.00017172,0.000264603,0.3598703],"genre_scores_gemma":[0.9610828,0.001334899,0.0297234,0.003489025,0.0001851889,0.0003533725,0.00003527781,0.00002189545,0.003774331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01329336,"threshold_uncertainty_score":0.08053374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296241243770581,"score_gpt":0.2874113867753949,"score_spread":0.264448974337689,"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."}}