{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002759541,0.001671149,0.001749632,0.0007599845,0.003214624,0.0002761306,0.002342073,0.0008754416,0.000611808],"category_scores_gemma":[0.0005433578,0.001277072,0.0006795369,0.004063249,0.002139938,0.00290676,0.0009489476,0.002108714,0.00006644699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453134,"about_ca_system_score_gemma":0.003629853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03521344,"about_ca_topic_score_gemma":0.04154158,"domain_scores_codex":[0.9900466,0.001545949,0.001914792,0.002386732,0.001956494,0.002149497],"domain_scores_gemma":[0.9925293,0.002406275,0.0008347259,0.001571942,0.001220627,0.001437167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001746928,0.001230455,0.2312948,0.001673402,0.001988665,0.00002532317,0.6677577,0.000934549,0.006065489,0.009692947,0.03646775,0.04112192],"study_design_scores_gemma":[0.003633539,0.0007563672,0.05673581,0.0007177918,0.0009474174,0.00003133036,0.6120532,0.002530608,0.001120552,0.001592133,0.3175408,0.002340519],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293818,0.02155687,0.0003056749,0.03742094,0.0007752053,0.003049541,0.0005109358,0.000426072,0.006572994],"genre_scores_gemma":[0.9777793,0.005398119,0.001325651,0.01121061,0.001789547,0.0001162976,0.0003764585,0.0001999409,0.001804076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.281073,"threshold_uncertainty_score":0.9996035,"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."}}