{"id":"W7117765811","doi":"10.20935/mhealthwellb8019","title":"How digital wellness is represented in school digital literacy and citizenship models: a qualitative comparative analysis","year":2025,"lang":"en","type":"article","venue":"Academia Mental Health and Well-Being","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Digital literacy; Citizenship; Competence (human resources); Digital learning; Literacy; Qualitative research; Digital society; Digital media","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004341434,0.0002881678,0.0005282225,0.0006843315,0.0002576021,0.002107193,0.0003983068,0.0001565584,0.000001827897],"category_scores_gemma":[0.0001106746,0.0002859035,0.00008078664,0.0018601,0.0001315839,0.005842918,0.0004009836,0.0006287305,0.0000060885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002555652,"about_ca_system_score_gemma":0.0001889835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006273454,"about_ca_topic_score_gemma":0.000003027376,"domain_scores_codex":[0.997456,0.0001862399,0.0006301975,0.0008577319,0.000335158,0.0005347418],"domain_scores_gemma":[0.9983623,0.0005521036,0.0002287799,0.0003399785,0.00006098193,0.0004558632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002308934,0.0002988759,0.1268558,0.0005256104,0.0005398603,0.00001262202,0.5038849,0.00006562615,0.000008138065,0.2509697,0.004736717,0.1118712],"study_design_scores_gemma":[0.00312979,0.0003559391,0.01445422,0.001520018,0.00006873661,0.00003744083,0.06368459,0.2207033,0.000524179,0.6858263,0.008357273,0.001338159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920947,0.002038696,0.02183992,0.0295874,0.0002112322,0.0007799719,0.00007054018,0.0001195403,0.02440569],"genre_scores_gemma":[0.9941111,0.0001342072,0.0008136291,0.003036652,0.00003059091,0.0000393778,0.0001373979,0.000007701333,0.001689339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4402003,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350817270115151,"score_gpt":0.367194603593764,"score_spread":0.3436864308926125,"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."}}