{"id":"W2610501618","doi":"","title":"Lines of Dissent: Representing Pipeline Resistance in Corporate Canadian Print Media","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissent; Resistance (ecology); Print media; Pipeline (software); Political science; Business; Advertising; Engineering; Law; Mechanical engineering; Newspaper","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":[0.00308904,0.0006827601,0.0002178373,0.004443375,0.01916064,0.0117302,0.001352594,0.001974042,0.007189321],"category_scores_gemma":[0.008348065,0.0002518499,0.0002655392,0.004796414,0.01790356,0.004381276,0.00571602,0.00285125,0.0005427224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03067748,"about_ca_system_score_gemma":0.01133486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5701728,"about_ca_topic_score_gemma":0.7177772,"domain_scores_codex":[0.996819,0.001213413,0.00005789681,0.0002626463,0.001003809,0.0006432482],"domain_scores_gemma":[0.9929477,0.004436596,0.0006258647,0.0004471649,0.001060727,0.0004819944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007505191,0.00001927776,0.002964122,0.00006479172,0.000006526293,0.0005450437,0.9306974,0.0001973626,0.001389414,0.04460925,0.005769634,0.01366207],"study_design_scores_gemma":[0.000009336653,0.00001843752,0.005764439,0.0001552876,0.00001932726,0.0001692898,0.866792,0.0006513387,0.001639212,0.004265268,0.1204708,0.00004528643],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6468132,0.0006112051,0.003937182,0.009974909,0.0002378653,0.0001042985,0.0004600231,0.0001228095,0.3377385],"genre_scores_gemma":[0.9837974,0.0002361857,0.0008927368,0.0004790209,0.00003925969,0.00003142207,0.000113533,0.00004488496,0.01436564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4298272,"threshold_uncertainty_score":0.8647171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04495814878947744,"score_gpt":0.3029651658476362,"score_spread":0.2580070170581588,"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."}}