{"id":"W2773783177","doi":"","title":"Visual ’othering’ of immigrants in Canadian and Finnish online newspapers from 2016","year":2017,"lang":"en","type":"article","venue":"Työväentutkimus Vuosikirja","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Newspaper; Political science; Media studies; Advertising; Internet privacy; Sociology; Computer science; Business; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009209522,0.000444879,0.0002625791,0.005401589,0.007142475,0.005113628,0.0005119399,0.0005151616,0.006156273],"category_scores_gemma":[0.003341519,0.0001974188,0.0002835582,0.005918025,0.002806241,0.001374057,0.002312418,0.0009340126,0.0004348532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0128936,"about_ca_system_score_gemma":0.008277757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8187388,"about_ca_topic_score_gemma":0.9169652,"domain_scores_codex":[0.9991835,0.0001003935,0.00002670481,0.0001023372,0.0003433319,0.0002437661],"domain_scores_gemma":[0.997317,0.000600755,0.0004815503,0.0001146938,0.00105415,0.0004318621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002662641,0.00005024528,0.08996063,0.0005753504,0.00004795942,0.001411534,0.8406065,0.00007208487,0.002868146,0.002365127,0.01407107,0.04770503],"study_design_scores_gemma":[0.000004538766,0.00002781509,0.2265802,0.0002773539,0.00004777073,0.0003112043,0.7046362,0.00007324471,0.0008537061,0.0001110354,0.06701721,0.00005975904],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650329,0.0007354238,0.0001004067,0.0005586243,0.00009846839,0.00004063534,0.002726631,0.00001767107,0.03068935],"genre_scores_gemma":[0.9845984,0.001216288,0.0002692174,0.0002250773,0.00007214942,0.00003295812,0.001806963,0.00003467523,0.01174421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1812612,"threshold_uncertainty_score":0.3646574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621494477896377,"score_gpt":0.3320452329835171,"score_spread":0.3058302882045534,"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."}}