{"id":"W2329038860","doi":"10.1093/migration/mnt002","title":"Good code bad code: Exploring the immigration-nation dialectic through media coverage of the Herouxville 'Code of Life' document","year":2013,"lang":"en","type":"article","venue":"Migration Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dialectic; Code (set theory); Immigration; Political science; Computer science; Sociology; Programming language; Law; Philosophy; Theology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007982688,0.000191545,0.0003174089,0.00006520586,0.0008635485,0.00009925084,0.0003057067,0.00007789401,0.0001106147],"category_scores_gemma":[0.001641532,0.000114783,0.0001557864,0.0006033437,0.0004356062,0.001190894,0.00005879666,0.0001371188,0.00002234616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642641,"about_ca_system_score_gemma":0.0001935457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007016637,"about_ca_topic_score_gemma":0.2618903,"domain_scores_codex":[0.9973935,0.0005307136,0.0007337319,0.0002511835,0.000858732,0.0002320925],"domain_scores_gemma":[0.997426,0.0006854626,0.0005542862,0.0003261088,0.0009650504,0.00004305145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004164152,0.0002181604,0.03211387,0.00008863731,0.0003914931,1.396836e-7,0.7420386,0.0009285659,0.005067789,0.1740731,0.03961094,0.005427036],"study_design_scores_gemma":[0.002285178,0.0004884052,0.1751151,0.0005405679,0.0004719968,0.000001622775,0.4421681,0.002145244,0.06201333,0.0614882,0.252062,0.001220171],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803858,0.002370797,0.002505947,0.009351434,0.001257707,0.001149608,0.00003679192,0.00005803917,0.002883849],"genre_scores_gemma":[0.991159,0.006308848,0.000127859,0.0002433789,0.0003523529,0.0004239006,0.00002016848,0.00001344975,0.001351093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2998705,"threshold_uncertainty_score":0.9995957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07370055379916034,"score_gpt":0.3184423886851038,"score_spread":0.2447418348859434,"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."}}