{"id":"W3008632098","doi":"10.18806/tesl.v36i3.1325","title":"Social Media for Social Inclusion: Barriers to Participation in Target-Language Online Communities","year":2019,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Digital Communication and Language","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Social media; Sociology; Computer-mediated communication; Psychology; Pedagogy; Humanities; Linguistics; The Internet; World Wide Web; Computer science; Gender studies; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004243292,0.00009501752,0.0001598605,0.0001099276,0.0005918731,0.0001425204,0.001009324,0.00003812594,0.00109795],"category_scores_gemma":[0.0001784474,0.00009269948,0.00004405073,0.0002447724,0.0000206458,0.0003098484,0.0005647867,0.0002491371,0.000002863023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947262,"about_ca_system_score_gemma":0.0009296822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01520783,"about_ca_topic_score_gemma":0.423017,"domain_scores_codex":[0.9988752,0.0001181394,0.0002689388,0.0000840303,0.0003795974,0.0002741107],"domain_scores_gemma":[0.9991719,0.0002117164,0.0001040624,0.0002098729,0.0001017731,0.0002006799],"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":[0.0002337787,0.0004346115,0.002211554,0.00008615824,0.0001016385,0.0001200252,0.6512483,0.0008429311,0.00130573,0.08226412,0.1273406,0.1338106],"study_design_scores_gemma":[0.008219155,0.0005414379,0.07630417,0.0002098253,0.00003462062,0.00009700041,0.1421629,0.04012953,0.001022549,0.01382497,0.7152046,0.002249288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714005,0.001316278,0.003257523,0.01974523,0.000526262,0.0003543749,0.00009393032,0.00006137345,0.003244542],"genre_scores_gemma":[0.9716874,0.00000130081,0.002093707,0.02597482,0.0001149205,0.000008385674,0.00003237853,0.000008760936,0.00007835003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.587864,"threshold_uncertainty_score":0.9998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512974139026328,"score_gpt":0.3054240415507232,"score_spread":0.2802943001604599,"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."}}