{"id":"W4396947851","doi":"10.19173/irrodl.v25i2.7718","title":"Marginalization, Technology Access and Study Approaches of Undergraduate Distance Learners during Covid-19 Pandemic in India","year":2024,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Distance education; Virology; Mathematics education; Political science; Sociology; Psychology; Medicine; Infectious disease (medical specialty); Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118228,0.0001920069,0.0003256394,0.0007740596,0.001912674,0.003343908,0.0007053814,0.0005539926,0.001732301],"category_scores_gemma":[0.004709421,0.0002116822,0.0002700705,0.0007585998,0.001721828,0.001549052,0.002894022,0.001200377,0.000231811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146982,"about_ca_system_score_gemma":0.002024794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378976,"about_ca_topic_score_gemma":0.01654282,"domain_scores_codex":[0.9987906,0.0003427753,0.00008969559,0.0001111755,0.0002198818,0.0004459233],"domain_scores_gemma":[0.9971325,0.0007402991,0.0007059088,0.0001100429,0.0003245464,0.0009865974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001678812,0.0003653649,0.6190772,0.0002346465,0.00004129165,0.001322554,0.3484973,0.00006774177,0.00153468,0.0009792841,0.0006103258,0.02710169],"study_design_scores_gemma":[0.000004269775,0.0002816687,0.5139962,0.0002159049,0.00002478311,0.0009034047,0.4791248,0.00009314407,0.0003399441,0.0003442045,0.004634625,0.0000370546],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984969,0.0003786073,0.00003000053,0.0002892052,0.000006420332,0.000006654553,0.00001368416,0.000001225777,0.0007772626],"genre_scores_gemma":[0.9992272,0.0003792676,0.00001975084,0.00009573478,0.000004314246,0.000006472666,0.000009696183,0.000001087994,0.0002565707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378976,"threshold_uncertainty_score":0.02741903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404024451611446,"score_gpt":0.4694262736197229,"score_spread":0.3290238284585784,"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."}}