{"id":"W2979682526","doi":"10.7202/1064817ar","title":"(Mis)trusted Contact: Resettlement Knowledge Assets and the Third Space of Refugee Reception","year":2019,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Refugee; Space (punctuation); Syrian refugees; Public relations; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003414927,0.0002928198,0.0003885538,0.001141371,0.0100583,0.004816061,0.0008959536,0.0007956897,0.004320608],"category_scores_gemma":[0.008468723,0.0002884708,0.0002285576,0.001086067,0.009678124,0.003144055,0.006775213,0.00167979,0.0001701959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009151908,"about_ca_system_score_gemma":0.01332905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2853981,"about_ca_topic_score_gemma":0.5151396,"domain_scores_codex":[0.9963676,0.002079326,0.0001463958,0.0001894386,0.0004006257,0.0008165814],"domain_scores_gemma":[0.9926544,0.003134016,0.001478259,0.0004074261,0.0007700068,0.001555903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003268005,0.00002499275,0.0202067,0.00005014859,0.000005165235,0.0006017137,0.9718816,0.00003956123,0.0002557825,0.002049784,0.0003179709,0.004533947],"study_design_scores_gemma":[0.000003323451,0.00002170014,0.01099382,0.00004549207,0.000004186497,0.0001193839,0.9850157,0.00004368346,0.00006374499,0.0002383362,0.003441045,0.000009502792],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900121,0.0002229571,0.0004368392,0.0008982157,0.00001747481,0.0000377352,0.00003790967,0.000005299771,0.008331364],"genre_scores_gemma":[0.9986598,0.0001016113,0.0001455994,0.00005110768,0.000002977102,0.00001433627,0.00001328179,0.000002388731,0.001008789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2853981,"threshold_uncertainty_score":0.5674739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065606456879657,"score_gpt":0.2802123293270698,"score_spread":0.2695562647582732,"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."}}