{"id":"W2294473231","doi":"10.18061/dsq.v36i1.3857","title":"iTechnology as cure or iTechnology as empowerment: What do North American news media report?","year":2016,"lang":"en","type":"article","venue":"Disability Studies Quarterly","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Narrative; Empowerment; Smart phone; Social media; Phone; News media; Sociology; Media studies; Psychology; Internet privacy; Political science; Computer science; Art; World Wide Web; Telecommunications; Linguistics; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007744432,0.0005552893,0.001107186,0.0002430575,0.0008239709,0.000109931,0.001390845,0.0005483004,0.0002249811],"category_scores_gemma":[0.005992611,0.000379864,0.0002371464,0.001708059,0.01564138,0.0008921184,0.0003026589,0.0005283363,0.0006182209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000796396,"about_ca_system_score_gemma":0.0002940039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003384323,"about_ca_topic_score_gemma":0.2832187,"domain_scores_codex":[0.9947834,0.0004153359,0.00104866,0.001611235,0.0007470346,0.001394342],"domain_scores_gemma":[0.9953118,0.001377323,0.000638282,0.002027634,0.0004014221,0.0002435164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001300772,0.0003682339,0.2695073,0.00002254848,0.0002660142,0.0002894506,0.04202579,2.982882e-8,0.00003735892,0.006814765,0.002587853,0.6779506],"study_design_scores_gemma":[0.001269905,0.002672134,0.04342035,0.0001759623,0.0001216002,0.000151991,0.6799937,1.953982e-7,0.0001529146,0.05116714,0.2198846,0.0009895017],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8562655,0.001162221,0.00003189365,0.1380814,0.001172119,0.0009048763,0.00002538774,0.001877668,0.0004788577],"genre_scores_gemma":[0.9925191,0.005319981,0.0003358924,0.0005595164,0.0002149882,0.0004130127,0.000008480542,0.00004593094,0.0005831117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6769611,"threshold_uncertainty_score":0.9998654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237476189397365,"score_gpt":0.3419391945719661,"score_spread":0.3195644326779925,"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."}}