{"id":"W7029126077","doi":"","title":"From immigrants to ideal citizens: Canadian government approaches to molding newcomers","year":2021,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"War, Ethics, and Justification","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Immigration; Ideal (ethics); Government (linguistics); Public policy","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007103668,0.0008210249,0.0008200933,0.0004331336,0.002309224,0.0006237254,0.0007768641,0.0006297109,0.002257392],"category_scores_gemma":[0.0006340525,0.0009454353,0.0003572238,0.0002405095,0.00006523391,0.0004642414,0.0001039909,0.001350474,0.0009046072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043478,"about_ca_system_score_gemma":0.0002074224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4092531,"about_ca_topic_score_gemma":0.9128947,"domain_scores_codex":[0.994993,0.0002490671,0.0009569932,0.001477468,0.001310332,0.001013148],"domain_scores_gemma":[0.9970273,0.0002270049,0.0003551021,0.0008988931,0.0003467174,0.001145031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003631033,0.000257988,0.0000369839,0.0006468841,0.0009626645,0.0001986368,0.01444538,0.0001855126,0.008138228,0.749073,0.001142555,0.2245491],"study_design_scores_gemma":[0.0006791307,0.0001411862,0.001332179,0.001291402,0.0005003668,0.000004389881,0.1003096,0.00002280223,0.01492867,0.0138294,0.8644643,0.002496481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7720593,0.0002664804,1.95255e-7,0.0004373178,0.004138692,0.0009188107,0.008677128,0.0001477443,0.2133544],"genre_scores_gemma":[0.953184,0.00005954362,0.0004243879,0.002147842,0.0006888174,0.0002916162,0.004229114,0.0002457621,0.03872893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8633218,"threshold_uncertainty_score":0.9998733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104734165029584,"score_gpt":0.2416397216064134,"score_spread":0.1369055565768295,"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."}}