{"id":"W2906427573","doi":"","title":"Issues in Providing English as a Second Language Training to Refugees: Lessons from Newfoundland and Labrador","year":2018,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Refugee; Government (linguistics); English language; Training (meteorology); Political science; Public relations; Linguistics; Psychology; Geography; Mathematics education; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001034297,0.0001643309,0.0005613487,0.0005396557,0.0003839462,0.0001316489,0.0004158446,0.00006178557,0.002251588],"category_scores_gemma":[0.0002093383,0.0001311963,0.0001749453,0.0002483986,0.0002721526,0.000313657,0.00009553412,0.0003769273,0.000009571855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278552,"about_ca_system_score_gemma":0.0000777186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07813412,"about_ca_topic_score_gemma":0.5198928,"domain_scores_codex":[0.9986711,0.0003163386,0.0003325113,0.0001868901,0.0002633572,0.0002298733],"domain_scores_gemma":[0.9986749,0.0003845512,0.0004258372,0.0002150915,0.0001939987,0.0001056215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009265429,0.00006084133,0.005232326,0.00001646347,0.001474282,0.0001032484,0.9782599,0.0002910229,0.0007624679,0.002445499,0.0002573176,0.01017011],"study_design_scores_gemma":[0.004439146,0.001023377,0.0173934,0.0003091388,0.003337231,0.00003841548,0.8742434,0.002999748,0.00002338144,0.0008867489,0.09468387,0.0006221529],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994074,0.0002948769,0.0002195694,0.0005605428,0.0004506359,0.00008000697,0.00003481473,0.00001812089,0.004267403],"genre_scores_gemma":[0.9933711,0.00002724169,0.0002435771,0.0001093037,0.00180777,6.024628e-8,0.00001171218,0.00001274911,0.00441646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4417586,"threshold_uncertainty_score":0.9986605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139399187064842,"score_gpt":0.2539297300060346,"score_spread":0.2399898112995504,"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."}}