{"id":"W2042036332","doi":"10.1080/13533312.2010.516671","title":"Teaching Diversity and Multicultural Competence to French Peacekeepers","year":2010,"lang":"en","type":"article","venue":"International Peacekeeping","topic":"Peacebuilding and International Security","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peacekeeping; Multiculturalism; Population; Political science; Sociology; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000729719,0.0001103201,0.000105081,0.000120195,0.001908238,0.0001498892,0.0005620035,0.00007409992,0.0001559764],"category_scores_gemma":[0.0009770376,0.0001164477,0.00005953897,0.00007641347,0.0001955228,0.0004371048,0.0007209355,0.0004625518,0.00004427693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104238,"about_ca_system_score_gemma":0.00002593585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546914,"about_ca_topic_score_gemma":0.006922183,"domain_scores_codex":[0.9986236,0.00007243921,0.0001582796,0.000305345,0.0005836947,0.0002566287],"domain_scores_gemma":[0.999261,0.0001551846,0.00006796708,0.00009676626,0.0001946967,0.0002243569],"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":[0.00005175287,0.0002688251,0.229789,0.00001687468,0.0001982005,0.00004072212,0.3129568,0.0001331368,0.06551257,0.3350293,0.0105835,0.04541932],"study_design_scores_gemma":[0.000545882,0.00003215294,0.3051522,0.00008971781,0.00001746988,0.00002208913,0.006358675,0.002499928,0.0002413732,0.001175568,0.6833139,0.0005510139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457529,0.00003620422,0.0002545744,0.009077653,0.001716292,0.0001187742,0.00001096086,0.0001158656,0.04291674],"genre_scores_gemma":[0.9930915,0.00003175435,0.003263952,0.0007737918,0.0007289468,0.000006181738,0.000006494983,0.000006222086,0.002091141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6727304,"threshold_uncertainty_score":0.9993911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050788693121342,"score_gpt":0.3169798210589754,"score_spread":0.296471934127762,"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."}}