{"id":"W3115347874","doi":"10.37119/ojs2020.v26i1.467","title":"Digital Citizenship in Ontario Education: A Concept Analysis","year":2020,"lang":"en","type":"article","venue":"in education","topic":"Social Media and Politics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Citizenship; Conceptualization; Good citizenship; Construct (python library); Democracy; Citizenship education; Sociology; Political science; Public relations; Law; Computer science; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006561231,0.00004695772,0.0001012717,0.0001099512,0.00005228172,0.00007449445,0.0001037618,0.00006340289,0.0003344603],"category_scores_gemma":[0.0005330205,0.0000568861,0.00003957501,0.0009645327,0.0000763213,0.0001247875,0.000006933987,0.000117618,0.00003804671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499865,"about_ca_system_score_gemma":0.004210837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1540597,"about_ca_topic_score_gemma":0.3380968,"domain_scores_codex":[0.9993622,0.00007154518,0.0001465674,0.0001229467,0.0001467636,0.0001499537],"domain_scores_gemma":[0.9996076,0.0001157022,0.0000410208,0.00005907713,0.00005418305,0.0001224244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001712781,0.00006903936,0.758195,0.000001419607,0.000007565875,2.205247e-7,0.2181831,0.000003863857,0.000001012742,0.008764373,0.001855806,0.01291686],"study_design_scores_gemma":[0.000138676,0.00001690065,0.5928026,0.00001884392,0.00004760508,1.150078e-7,0.247185,0.000008061898,0.00001482655,0.01645001,0.1431431,0.0001743382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900527,0.00009835874,0.000005146145,0.01153491,0.0008200778,0.0001315978,0.000001897578,0.00001504249,0.08686598],"genre_scores_gemma":[0.9960421,0.000006612733,0.00006211066,0.0013431,0.0006124542,0.00003227154,0.00004108396,0.000003193505,0.001857074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1840371,"threshold_uncertainty_score":0.8515735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002416019211067,"score_gpt":0.3422204465805099,"score_spread":0.3021962863883992,"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."}}