{"id":"W2904739501","doi":"10.2979/africonfpeacrevi.8.2.02","title":"Tapping into Resettlement for Rebuilding: Lessons from Peacebuilding Engagement Activities of Resettled Liberian Refugees in Canada","year":2018,"lang":"en","type":"article","venue":"African Conflict and Peacebuilding Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peacebuilding; Refugee; Tapping; Political science; Public administration; Management; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002290699,0.0005159798,0.0008097232,0.001217699,0.005189186,0.003506965,0.001221251,0.0007144003,0.002311572],"category_scores_gemma":[0.00286869,0.0002055957,0.0004801807,0.003505773,0.001838372,0.00131851,0.002350165,0.001287277,0.0001697521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02306761,"about_ca_system_score_gemma":0.1011155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9072576,"about_ca_topic_score_gemma":0.9795437,"domain_scores_codex":[0.9987473,0.0004454794,0.0000586333,0.00007166002,0.0002298235,0.0004471389],"domain_scores_gemma":[0.9987237,0.0003807448,0.0001256019,0.00002583602,0.000427405,0.0003166985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003915336,0.0003463953,0.03041108,0.01812324,0.0002673607,0.00552106,0.3814271,0.000557638,0.001514474,0.008166829,0.0119085,0.5413648],"study_design_scores_gemma":[0.00005003884,0.000321561,0.1144621,0.02260411,0.0004416727,0.001303441,0.632814,0.0001678298,0.001165944,0.0009806183,0.2255876,0.0001010243],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4777319,0.4740295,0.0004086317,0.01463098,0.000532168,0.0003129531,0.000438907,0.00001609734,0.03189899],"genre_scores_gemma":[0.6307463,0.3617117,0.0009828983,0.001626641,0.00007040295,0.00008313995,0.000227905,0.00001228241,0.004538734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09274238,"threshold_uncertainty_score":0.1865771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271947459700951,"score_gpt":0.3690190156053744,"score_spread":0.3162995410083649,"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."}}