{"id":"W3023430655","doi":"10.1177/2053951720919151","title":"A dialogic analysis of Hello Barbie’s conversations with children","year":2020,"lang":"en","type":"article","venue":"Big Data & Society","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Dialogic; Sociology; Personalization; Rhetoric; Advertising; Computer science; Public relations; World Wide Web; Business; Pedagogy; Linguistics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004723899,0.0007488635,0.0007506344,0.002096772,0.01112044,0.006025158,0.001183627,0.002373655,0.007225389],"category_scores_gemma":[0.0101887,0.0006031506,0.0004798497,0.001232192,0.0118105,0.005380363,0.006434998,0.004024909,0.001060991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00618914,"about_ca_system_score_gemma":0.002820267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604166,"about_ca_topic_score_gemma":0.02171945,"domain_scores_codex":[0.9938958,0.004208062,0.0001253506,0.0005356745,0.0005749887,0.0006601042],"domain_scores_gemma":[0.9933324,0.005003339,0.0004247366,0.0002106843,0.0004391806,0.0005895435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004465842,0.00002401361,0.0008888443,0.00008689711,0.000005864053,0.0008700446,0.9683348,0.00005929096,0.001023325,0.02176069,0.002374667,0.004526794],"study_design_scores_gemma":[0.00001300397,0.00008388412,0.002892694,0.0003876922,0.00001838873,0.001393381,0.6963145,0.0002672125,0.001773275,0.004539953,0.2922426,0.00007349112],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8032439,0.003430173,0.01891623,0.01629531,0.0005027312,0.0003318532,0.0008224791,0.000323806,0.1561335],"genre_scores_gemma":[0.9696284,0.001164125,0.004849267,0.001720472,0.00007655525,0.0002315787,0.0001808345,0.000154165,0.02199465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604166,"threshold_uncertainty_score":0.04490554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581113127438399,"score_gpt":0.3285408846948391,"score_spread":0.1704295719509992,"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."}}