{"id":"W3193000986","doi":"10.1177/14614448211032980","title":"Digital nativism: Twitter, migration discourse and the 2019 election","year":2021,"lang":"en","type":"article","venue":"New Media & Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Canadian Heritage","keywords":"Psychological nativism; Affordance; Xenophobia; Immigration; Social media; Sociology; Citizen journalism; Politics; Digital media; Media studies; Political science; Presidential election; Law; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003225164,0.0002712738,0.0001875338,0.002252185,0.01261962,0.01265096,0.0007127523,0.001215312,0.003920348],"category_scores_gemma":[0.005398603,0.0001663657,0.0001744405,0.003074532,0.0160068,0.006560696,0.005799986,0.001622528,0.0004362664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224303,"about_ca_system_score_gemma":0.005696274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1543031,"about_ca_topic_score_gemma":0.1865483,"domain_scores_codex":[0.9981201,0.000949742,0.00006235861,0.0001486123,0.0003083032,0.0004108602],"domain_scores_gemma":[0.997303,0.001583894,0.0003541533,0.0001547975,0.0002569017,0.0003471991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001965928,0.00004096406,0.02486342,0.0001507042,0.00001529187,0.0006071097,0.7452499,0.0001522355,0.0007230745,0.1935699,0.007740888,0.02669001],"study_design_scores_gemma":[0.000009935291,0.00002185232,0.0215632,0.0002749723,0.0000106696,0.0001060335,0.767643,0.000283904,0.0005607319,0.0106619,0.1988344,0.00002934992],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7760413,0.002242272,0.001028088,0.04343642,0.0003961062,0.00003530958,0.0003565919,0.00003422877,0.1764296],"genre_scores_gemma":[0.9928849,0.0006200637,0.000100902,0.000667755,0.00006271357,0.00001652808,0.00006171079,0.00001694461,0.005568381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1543031,"threshold_uncertainty_score":0.3068098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419763382946401,"score_gpt":0.317170581417983,"score_spread":0.292972947588519,"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."}}