{"id":"W2151096142","doi":"10.7202/039369ar","title":"Complicity Through Montage","year":2010,"lang":"en","type":"article","venue":"Ethnologies","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Complicity; Filmmaking; Representation (politics); Aesthetics; Citizen journalism; Foundation (evidence); Sociology; Epistemology; Computer science; Linguistics; Visual arts; Art; History; Philosophy; Political science; Archaeology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002655631,0.000504341,0.0002585565,0.001296829,0.003648945,0.005687814,0.0009167207,0.001206663,0.02523777],"category_scores_gemma":[0.01078066,0.0002815768,0.0004037928,0.0009433185,0.008699838,0.008047605,0.006355767,0.001802344,0.001654846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290785,"about_ca_system_score_gemma":0.0007081061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315386,"about_ca_topic_score_gemma":0.002744226,"domain_scores_codex":[0.9974747,0.001523325,0.0000602577,0.0003736886,0.000356812,0.0002110959],"domain_scores_gemma":[0.9944845,0.003464938,0.0003130637,0.001295376,0.0002669283,0.0001751043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007019878,0.00002907547,0.0004687859,0.000074248,0.00000706837,0.0004702416,0.03315013,0.0005182027,0.001918544,0.9230204,0.00530382,0.03496916],"study_design_scores_gemma":[0.00004421406,0.00007100451,0.0008099406,0.0001882289,0.00002421144,0.0008616652,0.01982835,0.004435906,0.006384455,0.5624259,0.4048897,0.00003641583],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09492979,0.001005955,0.1607664,0.007292907,0.0003853517,0.0001495223,0.00017486,0.0007623465,0.7345328],"genre_scores_gemma":[0.907073,0.0004943722,0.03627734,0.0004442488,0.0001908208,0.0001698709,0.0001090734,0.0003549593,0.05488639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02523777,"threshold_uncertainty_score":0.08442873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06064913060129366,"score_gpt":0.2688379819624351,"score_spread":0.2081888513611414,"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."}}