{"id":"W4399653124","doi":"10.1007/s11159-023-10058-2","title":"The rise of learning technology in an unequal world: potentials and limitations in enhancing lifelong learning","year":2024,"lang":"en","type":"article","venue":"International Review of Education","topic":"Digital Education and Society","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lifelong learning; Educational technology; Positivism; Inequality; Emerging technologies; Computer science; Sociology; Artificial intelligence; Political science; Pedagogy; Mathematics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0008412619,0.00005484579,0.0001057314,0.0003410763,0.00003406948,0.00008893938,0.0002868407,0.00002313617,0.000005693772],"category_scores_gemma":[0.001474127,0.00004705275,0.00003292358,0.0008381552,0.00004861669,0.0005002645,0.00005762401,0.0001708601,0.000003526253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006579221,"about_ca_system_score_gemma":0.0003281821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105061,"about_ca_topic_score_gemma":0.0001241873,"domain_scores_codex":[0.9991059,0.0000968923,0.000405349,0.0001588609,0.0001578034,0.0000751525],"domain_scores_gemma":[0.9991502,0.0003957482,0.0001368656,0.0001069722,0.0001886814,0.0000214958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.263243e-7,0.00009509869,0.006997278,0.0003857983,0.000009102023,3.118998e-7,0.002066409,0.0001532169,0.0003584997,0.2230078,0.0001086601,0.7668169],"study_design_scores_gemma":[0.0006860699,0.0004190071,0.1792632,0.05765033,0.00005497019,0.00004153242,0.0254902,0.1090734,0.004128932,0.1220738,0.5001557,0.0009628752],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7265486,0.1695485,0.02022152,0.06088377,0.003823902,0.0007999736,0.000001919026,0.0001380446,0.01803376],"genre_scores_gemma":[0.985832,0.01174341,0.001477413,0.00006928411,0.00002977467,0.00003548782,0.000006110205,0.000004007307,0.0008024761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.765854,"threshold_uncertainty_score":0.1918755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255694905620741,"score_gpt":0.3568856577230484,"score_spread":0.3313161671609743,"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."}}