{"id":"W2606639816","doi":"10.25071/1920-7336.40448","title":"Effecting Change: Civil Servants and Refugee Policy in 1970s Canada","year":2017,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Refugee; Immigration; Civil servants; Immigration policy; Political science; Politics; Spanish Civil War; Public administration; Economic growth; Law; Economics","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":[0.002978346,0.0003983517,0.0005728247,0.002251899,0.04448602,0.0117689,0.002582409,0.004005929,0.006662794],"category_scores_gemma":[0.005360265,0.0005550597,0.0005177078,0.003460318,0.01914911,0.00242589,0.006890705,0.008020173,0.0002964038],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.3684763,"about_ca_system_score_gemma":0.4787289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984383,"about_ca_topic_score_gemma":0.9994668,"domain_scores_codex":[0.9919209,0.0007012964,0.0001170801,0.000274591,0.0010565,0.00592952],"domain_scores_gemma":[0.9944783,0.0004450956,0.0002284543,0.00007081377,0.0009345924,0.003842789],"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":[0.0002337653,0.0003686879,0.05809256,0.00048777,0.00008609467,0.003300252,0.3516794,0.001756115,0.001188054,0.4146103,0.08130398,0.08689307],"study_design_scores_gemma":[0.00006033067,0.00007757323,0.1009394,0.0007493845,0.00004719624,0.0002042571,0.397122,0.0004376036,0.0005157475,0.005031952,0.4946795,0.0001351902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5466573,0.01582521,0.000552639,0.1797412,0.001254794,0.0002555263,0.0004630594,0.0000759513,0.2551743],"genre_scores_gemma":[0.9467001,0.005381293,0.0003444169,0.01223755,0.00009398237,0.0000518917,0.000116927,0.00003856447,0.03503527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3684763,"threshold_uncertainty_score":0.732478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003597529094572,"score_gpt":0.2835907324078305,"score_spread":0.2635547571168848,"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."}}