{"id":"W7127552332","doi":"","title":"the contested dynamic of framing Canada’s military mission in Afghanistan","year":2017,"lang":"en","type":"article","venue":"Open MIND","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); News media; Hegemony; Elite; Normative; Media relations; Content analysis; Government (linguistics); Thematic analysis","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":[0.004272143,0.0003474265,0.0003333576,0.005355835,0.01510775,0.01017656,0.001095266,0.0008585692,0.004519095],"category_scores_gemma":[0.01692438,0.0003209356,0.000216148,0.00618593,0.008926342,0.002871159,0.003058724,0.00140897,0.0002184065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05818558,"about_ca_system_score_gemma":0.06672788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9483559,"about_ca_topic_score_gemma":0.9672549,"domain_scores_codex":[0.9966406,0.0008394014,0.00007084777,0.0002982948,0.001301388,0.0008495229],"domain_scores_gemma":[0.9871706,0.005639109,0.001300031,0.0004580378,0.004045822,0.0013864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001304042,0.00004876328,0.08056411,0.000267089,0.00003909516,0.0007598505,0.8580264,0.0001779537,0.001701676,0.01575175,0.00683832,0.03569461],"study_design_scores_gemma":[0.00001193095,0.00003080161,0.121423,0.0003256654,0.00004919464,0.0001516597,0.8004233,0.0002780833,0.0007502064,0.001313336,0.0751881,0.00005466313],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924629,0.0007181509,0.0004811933,0.005252887,0.00008118944,0.00006356717,0.000527819,0.0000285407,0.06821765],"genre_scores_gemma":[0.9961494,0.0004491789,0.0002664202,0.0003541551,0.00002422382,0.00002019142,0.0001411661,0.00001643403,0.002578868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05818558,"threshold_uncertainty_score":0.4221679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05182961600317484,"score_gpt":0.3734168851419321,"score_spread":0.3215872691387572,"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."}}