{"id":"W4387360189","doi":"10.1080/10350330.2023.2261853","title":"Fueling divisions: a multimodal analysis of Canadian petro-nationalism in the social media discourse of “oil sands strong”","year":2023,"lang":"en","type":"article","venue":"Social Semiotics","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Science Planning Project of Shandong Province","keywords":"Critical discourse analysis; Nationalism; Sociology; Argumentation theory; Argument (complex analysis); Discourse analysis; Politics; Media studies; Political science; Law; Linguistics; Ideology","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":[0.00182737,0.0005640744,0.0002331943,0.004611463,0.01468543,0.007191912,0.0007435682,0.0007841222,0.004453863],"category_scores_gemma":[0.003533485,0.0002196233,0.0001962564,0.004216968,0.01273446,0.002561619,0.003551998,0.001278651,0.0002213282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03301419,"about_ca_system_score_gemma":0.02192932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8199886,"about_ca_topic_score_gemma":0.9115971,"domain_scores_codex":[0.9986846,0.0003774801,0.00002816771,0.00012593,0.0004518322,0.0003320301],"domain_scores_gemma":[0.9981205,0.0009496458,0.0001646059,0.00008497249,0.0005188202,0.0001615579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007775558,0.00001257508,0.00529012,0.00009784381,0.000008712062,0.0004648964,0.9359378,0.0001166003,0.00302687,0.03673762,0.002133369,0.01609593],"study_design_scores_gemma":[0.000003481057,0.00001510086,0.01255961,0.00009808852,0.00001890085,0.0001078257,0.9166098,0.0003553552,0.001253723,0.001994008,0.06695203,0.00003207951],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760897,0.0004765408,0.001850867,0.00342664,0.00008608486,0.0000648792,0.0003732523,0.00004846169,0.1175836],"genre_scores_gemma":[0.992538,0.0002178883,0.0006467992,0.0001330933,0.00001318741,0.00001620856,0.00008080257,0.00002583913,0.006328261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800114,"threshold_uncertainty_score":0.362143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262981477220865,"score_gpt":0.3624560813075797,"score_spread":0.2998262665353711,"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."}}