{"id":"W2973586710","doi":"","title":"Deviating From the Traditional Instructional Tools: Integrating Twitter in a Sociology of Deviance Course","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Deviance (statistics); Mathematics education; Instructional design; Sociology; Teaching method; Social media; Psychology; Pedagogy; Computer science; Multimedia; World Wide Web; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003664448,0.00004664256,0.0001373644,0.0001294804,0.0003578762,0.00001389802,0.0001426326,0.000167197,0.00009773003],"category_scores_gemma":[0.002511676,0.00003869514,0.00002388358,0.0002103416,0.002884367,0.00006192451,0.000005917357,0.0005181837,0.000001449198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000751095,"about_ca_system_score_gemma":0.001304253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006051107,"about_ca_topic_score_gemma":0.0628028,"domain_scores_codex":[0.9992746,0.0001678989,0.0002171413,0.00006006967,0.00008258392,0.0001977692],"domain_scores_gemma":[0.9989214,0.0005738782,0.0002016704,0.00002901984,0.0001880548,0.00008600609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000002711603,0.000003689862,0.8659095,0.000001400031,0.00002090321,0.000008821986,0.0363686,9.277568e-7,0.00008755194,0.07162704,0.0001768568,0.02579198],"study_design_scores_gemma":[0.0007211841,0.0003678263,0.08939923,0.0003283459,0.00004262961,0.00009601847,0.6423718,0.000056962,0.000237778,0.1479475,0.1182301,0.0002005707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870616,0.0004762931,0.0000515027,0.01117109,0.0003535559,0.00002796644,0.000004949557,0.000004817316,0.0008482058],"genre_scores_gemma":[0.9982592,0.00002393002,0.0009255309,0.0001068531,0.000661044,0.000001238895,0.000001091639,0.00000359099,0.00001745331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7765103,"threshold_uncertainty_score":0.9998292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454082246236267,"score_gpt":0.3052399760184019,"score_spread":0.2598317513947752,"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."}}