{"id":"W4390725235","doi":"10.21474/ijar01/18030","title":"ASSESSING THE EFFECTIVE IMPLEMENTATION OF SIERRA LEONES NATIONAL POLICY ON RADICAL INCLUSION TO ADDRESS GENDER INEQUALITY AND PROMOTE EQUAL ACCESS TO GIRLS EDUCATION","year":2023,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Gender, Education, and Development Issues","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sierra leone; Inclusion (mineral); Poverty; Government (linguistics); Accountability; Political science; Nonprobability sampling; Inequality; Gender mainstreaming; Economic growth; Sociology; Gender equality; Socioeconomics; Gender studies; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006159316,0.00008418667,0.0001312404,0.001109753,0.0007513554,0.0002897486,0.0006566267,0.00004654426,0.00006109454],"category_scores_gemma":[0.003088866,0.00006588576,0.00004100781,0.001100677,0.0001385934,0.0008846638,0.0003427296,0.0002315178,0.000006922621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006928829,"about_ca_system_score_gemma":0.003743371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008868324,"about_ca_topic_score_gemma":0.0003239566,"domain_scores_codex":[0.9956197,0.0007517049,0.0004315014,0.0001875285,0.002757905,0.0002517011],"domain_scores_gemma":[0.995344,0.001016167,0.0002252151,0.0000770882,0.003158496,0.0001790498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005128097,0.0006411694,0.05339172,0.00008081408,0.0002281179,0.000007338555,0.3102785,0.002416027,0.01453666,0.05796938,0.009958335,0.5499792],"study_design_scores_gemma":[0.0006743632,0.0002351829,0.8584068,0.0002287894,0.000005405582,0.000006476102,0.05731029,0.00001689837,0.008941897,0.04606103,0.02795633,0.0001565575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618647,0.00004871079,0.000601706,0.03417159,0.0007090195,0.0006411906,0.00001035266,0.00001033674,0.001942426],"genre_scores_gemma":[0.997444,0.0001662898,0.0008538034,0.0003751507,0.000939088,0.00004864065,0.00001287481,0.000008598993,0.000151506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.805015,"threshold_uncertainty_score":0.664058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2208379769357389,"score_gpt":0.6298508220261766,"score_spread":0.4090128450904377,"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."}}