{"id":"W1509824177","doi":"10.24124/c677/2009133","title":"Do Large-N Media Studies Bury the Lead, or Even Miss the Story?","year":2009,"lang":"en","type":"article","venue":"Canadian Political Science Review","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Immigration; Perspective (graphical); Identity (music); Minor (academic); Heuristic; Qualitative analysis; Political science; Sociology; Positive economics; Social psychology; Qualitative research; Psychology; Law; Epistemology; Social science; Economics; Computer science; Aesthetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1386969,0.0008750983,0.001531564,0.01428289,0.007603117,0.01516207,0.003939699,0.007688393,0.008259758],"category_scores_gemma":[0.4246492,0.001053661,0.0006885119,0.01437769,0.01859095,0.0363574,0.007512324,0.003381594,0.002413554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005439851,"about_ca_system_score_gemma":0.009083587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03361914,"about_ca_topic_score_gemma":0.08116741,"domain_scores_codex":[0.9249872,0.04619236,0.006249474,0.0056445,0.01424518,0.002681233],"domain_scores_gemma":[0.4271968,0.4633395,0.03980659,0.026943,0.03766612,0.005047921],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008291045,0.0004793874,0.1273451,0.01923074,0.001382586,0.001514881,0.08271145,0.0003943859,0.001415282,0.1217878,0.3158487,0.3270606],"study_design_scores_gemma":[0.0003171646,0.0002983369,0.09999313,0.0236131,0.0006370236,0.001150227,0.1955548,0.0008731118,0.001519851,0.1030877,0.5726732,0.0002824371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07190509,0.07662894,0.009837914,0.754265,0.01238391,0.0007322601,0.002264026,0.0002503013,0.07173248],"genre_scores_gemma":[0.6218751,0.04411079,0.01899372,0.2820484,0.02238766,0.002291232,0.001214748,0.0003356279,0.006742819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8613032,"threshold_uncertainty_score":0.7335079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477673934821557,"score_gpt":0.4486458876517567,"score_spread":0.3008784941696011,"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."}}