{"id":"W4407778604","doi":"10.1007/s44206-025-00164-z","title":"Talking to Dog: A Critical Discourse Analysis of Research and Public Reporting on Digital Technology for Human-Animal Communication","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council","keywords":"Critical discourse analysis; Human animal; Psychology; Sociology; Political science; Biology; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.1344848,0.001673624,0.001748326,0.01606532,0.03454517,0.02245986,0.006280634,0.007853596,0.004741508],"category_scores_gemma":[0.23408,0.001429014,0.0009212444,0.01336421,0.04477149,0.02275032,0.02242377,0.009594089,0.0005514165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02823063,"about_ca_system_score_gemma":0.03165582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438199,"about_ca_topic_score_gemma":0.01500991,"domain_scores_codex":[0.841347,0.1382532,0.003951694,0.004067716,0.007916298,0.004464058],"domain_scores_gemma":[0.4692453,0.4935769,0.0119682,0.006429385,0.01523935,0.003540861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002519793,0.00001534627,0.0003377887,0.000195744,0.00000449405,0.000129041,0.9907234,0.00001499073,0.0002260742,0.005380765,0.0004685497,0.002478528],"study_design_scores_gemma":[0.00000812563,0.00001536002,0.0004107374,0.0005622808,0.00001305017,0.00006856083,0.9839909,0.00009203669,0.0005236497,0.002617059,0.01168462,0.0000135947],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8483394,0.004241917,0.03500544,0.0590493,0.001183712,0.003041156,0.001146445,0.0002049254,0.0477875],"genre_scores_gemma":[0.9756266,0.001404206,0.01231395,0.003575242,0.0001910756,0.002002495,0.0002333337,0.000260378,0.004392648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9654548,"threshold_uncertainty_score":0.7112322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2295233828356308,"score_gpt":0.5997446563522946,"score_spread":0.3702212735166638,"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."}}