{"id":"W1916801034","doi":"10.22230/cjc.2011v36n4a2419","title":"Cutting, Driving, Digging, and Harvesting: Re-masculinizing the Working-Class Heroic","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Gender Roles and Identity Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Narrative; Hegemonic masculinity; Working class; Digging; Masculinity; Hegemony; Gender studies; Ideology; Sociology; Blue collar; Class (philosophy); Aesthetics; History; Literature; Political science; Art; Politics; Law; Epistemology","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":[0.001221611,0.0004746343,0.000139972,0.0006986298,0.007826539,0.00407803,0.0004888899,0.0007582374,0.002898708],"category_scores_gemma":[0.001340331,0.0001694159,0.000119445,0.0003356718,0.01340076,0.002145823,0.002785964,0.001725467,0.0003725001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701388,"about_ca_system_score_gemma":0.001171702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088829,"about_ca_topic_score_gemma":0.02953165,"domain_scores_codex":[0.9992419,0.0004229727,0.000006069126,0.00004082804,0.0001443821,0.0001438597],"domain_scores_gemma":[0.9992674,0.0003645956,0.0001021712,0.00006007786,0.00006063695,0.0001450738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000389397,0.00002338904,0.002650106,0.00003466878,0.00000356132,0.0004681573,0.9341212,0.0000466648,0.001655328,0.0416926,0.004297001,0.01496835],"study_design_scores_gemma":[0.000004602532,0.00006175539,0.003733543,0.00009632675,0.000007852328,0.0005987042,0.8457643,0.0001983478,0.001958896,0.003407039,0.144152,0.00001668556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531096,0.001134959,0.002656572,0.006856692,0.0002331788,0.00001379368,0.00002995813,0.00004217607,0.1359231],"genre_scores_gemma":[0.9797766,0.0004660991,0.0004491501,0.0004490635,0.00005155398,0.000006730158,0.00001114278,0.00003592392,0.01875376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01088829,"threshold_uncertainty_score":0.02164978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181842409769348,"score_gpt":0.2978812812814088,"score_spread":0.2360628571837153,"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."}}