{"id":"W3121854313","doi":"","title":"Corporate Constructed and Dissent Enabling Public Spheres: Differentiating Dissensual from Consensual Corporate Social Responsibility","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dissent; Corporate social responsibility; Public sphere; Perspective (graphical); Civil society; Transformative learning; Public relations; Business ethics; Political science; Sociology; Environmental ethics; Law and economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01012937,0.0004179612,0.0002795593,0.002836873,0.004061669,0.007354765,0.0009501853,0.00166232,0.002889958],"category_scores_gemma":[0.01832495,0.000173367,0.0004925599,0.001623118,0.04749744,0.008819534,0.0096581,0.002715931,0.0002289437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004891302,"about_ca_system_score_gemma":0.003440269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803864,"about_ca_topic_score_gemma":0.003561678,"domain_scores_codex":[0.9923288,0.004223208,0.0003652195,0.0005614796,0.001736613,0.0007847829],"domain_scores_gemma":[0.9840975,0.009446091,0.002421877,0.001923827,0.001123502,0.0009871754],"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":[0.00002143469,0.00004303115,0.00432324,0.00004493647,0.000003644066,0.0001243475,0.05494368,0.0001973657,0.0003524445,0.9319415,0.0003440677,0.00766032],"study_design_scores_gemma":[0.00001897634,0.00007619132,0.02255572,0.0002645789,0.00001546757,0.0004095472,0.1251011,0.00230748,0.003073526,0.789772,0.05633026,0.00007510342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4717964,0.0009972713,0.05324516,0.016619,0.0002757679,0.00015654,0.00004861492,0.00008100102,0.4567803],"genre_scores_gemma":[0.9941067,0.0001412959,0.002556743,0.0003937452,0.00003032756,0.00004272085,0.00001354809,0.00001499975,0.002699901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01012937,"threshold_uncertainty_score":0.05356985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034912440920286,"score_gpt":0.2474477295414479,"score_spread":0.2125352886211619,"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."}}