{"id":"W1748879262","doi":"10.22230/cjc.2007v32n2a1849","title":"Creating Model Citizens for the Information Age: Canadian Internet Policy as Civilizing Discourse","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Social Media and Politics","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Government (linguistics); Globalization; Political science; Context (archaeology); Negotiation; Pledge; Democracy; The Internet; Public relations; Information Age; Sociology; Public administration; Politics; Political economy; Law; World Wide Web; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0112788,0.0006628929,0.0005907833,0.006581492,0.05788857,0.03149548,0.002383072,0.007226962,0.007986393],"category_scores_gemma":[0.01842017,0.0005412886,0.0004569678,0.01098644,0.04036896,0.01217633,0.008773537,0.007508797,0.0006191694],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2751895,"about_ca_system_score_gemma":0.3051168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899442,"about_ca_topic_score_gemma":0.9884092,"domain_scores_codex":[0.9871213,0.003611164,0.0002456856,0.0008216851,0.004389733,0.003810472],"domain_scores_gemma":[0.9859226,0.006253302,0.0005453098,0.0005484683,0.003695311,0.003034954],"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":[0.00002310857,0.00002258282,0.001514467,0.00006914471,0.000005206075,0.0001978062,0.1173284,0.0002394723,0.0001216454,0.842174,0.02542685,0.01287737],"study_design_scores_gemma":[0.00003099407,0.00001681915,0.00476657,0.0003485536,0.00002876522,0.0001038521,0.1695261,0.001119825,0.0004007072,0.09028184,0.7332622,0.0001137114],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09412859,0.009393551,0.002931836,0.2379962,0.0006716531,0.0001178919,0.0002754692,0.0001161096,0.6543688],"genre_scores_gemma":[0.9373012,0.006023468,0.002147564,0.01589682,0.0001441463,0.00009382641,0.0001359332,0.000111962,0.03814514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7248105,"threshold_uncertainty_score":0.8406774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314776075884972,"score_gpt":0.36770667202247,"score_spread":0.3245589112636202,"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."}}