{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195358,0.00007815059,0.0001190571,0.000006511437,0.0004195209,0.0001977064,0.0000801972,0.000111806,0.00005085816],"category_scores_gemma":[0.0007547463,0.00005872793,0.0001220016,0.0002328219,0.0005759452,0.0002353806,0.00002480143,0.0001712007,0.0000184063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007114495,"about_ca_system_score_gemma":0.0005208895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494683,"about_ca_topic_score_gemma":0.002617175,"domain_scores_codex":[0.9990069,0.0001275997,0.0001115205,0.0001441498,0.0003724254,0.0002373883],"domain_scores_gemma":[0.9989104,0.0007219499,0.00005264841,0.00008724016,0.00008752725,0.0001402234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001024162,0.00003772066,0.005256159,0.00000500813,0.00005200354,0.000001770418,0.6906126,2.740212e-7,0.0002860155,0.01961948,0.2588824,0.02523627],"study_design_scores_gemma":[0.002169091,0.00002248807,0.006386118,0.00002656738,0.0001069208,0.000004136492,0.3986817,0.00007287851,0.0009045657,0.02994255,0.5613859,0.0002970879],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196968,0.001176618,0.0002809197,0.06887902,0.002068876,0.0002127749,0.00001324063,0.00007640627,0.007595343],"genre_scores_gemma":[0.9847487,0.002258414,0.0001567402,0.001677522,0.003262776,0.000009877662,0.00003837608,0.0000105482,0.007837103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025035,"threshold_uncertainty_score":0.3226658,"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."}}