{"id":"W3126111377","doi":"10.31651/2524-2660-2020-4-110-119","title":"BUILDING CIVIL SOCIETY WITH FORMER MILITARY AND THEIR FAMILIES: THE ROLE OF HIGHER EDUCATION IN BRIDGING THE GAP BETWEEN MILITARY SERVICE AND CIVIL LIFE","year":2020,"lang":"en","type":"article","venue":"Vìsnik Čerkasʹkogo unìversitetu. Serìâ Pedagogìčnì naukii/Vìsnik Čerkasʹkogo unìversitetu. Serìâ Pedagogìčnì nauki","topic":"Education and Military Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Military service; Civil society; Public relations; Bridging (networking); Originality; Political science; Service (business); Focus group; Sociology; Public administration; Law; Social science; Qualitative research; Business; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002906427,0.0001926977,0.0002496618,0.000773964,0.009661224,0.004891959,0.0007258717,0.0009479956,0.008894226],"category_scores_gemma":[0.004315372,0.0001383643,0.0001788275,0.001055225,0.005106321,0.003235326,0.004145805,0.001619486,0.0007179453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008973297,"about_ca_system_score_gemma":0.02385744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04765441,"about_ca_topic_score_gemma":0.07571311,"domain_scores_codex":[0.9970445,0.001536504,0.00008599413,0.0001540406,0.0003811315,0.0007976929],"domain_scores_gemma":[0.9952466,0.001567641,0.0005754677,0.0001148966,0.0005709399,0.001924498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000748446,0.0002065539,0.06566697,0.002601959,0.00004645159,0.004138263,0.5283653,0.0003420938,0.001138685,0.074391,0.0485805,0.2744474],"study_design_scores_gemma":[0.00000462521,0.0001127899,0.04867605,0.002675227,0.00001844948,0.00150724,0.7012194,0.00007896896,0.0003546678,0.005513774,0.2398053,0.00003353416],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076336,0.03929958,0.001827012,0.1200141,0.0009625645,0.000104519,0.0002134986,0.00007743704,0.1298677],"genre_scores_gemma":[0.9856218,0.006810278,0.0006008745,0.002712105,0.00006839707,0.00002173058,0.00003998231,0.000009096088,0.004115894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04765441,"threshold_uncertainty_score":0.09475404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890661638040628,"score_gpt":0.292370094405834,"score_spread":0.2634634780254277,"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."}}