{"id":"W1546019148","doi":"10.15353/joci.v6i3.2544","title":"Equity, pedagogy and inclusion. Harnessing digital technologies to support higher education access and success","year":2011,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Pace; Inclusion (mineral); Phone; Access to Higher Education; Distance education; Equity (law); Pedagogy; Psychology; Face-to-face; Mathematics education; Medical education; Sociology; Political science; Social psychology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002559964,0.00006319568,0.0001066462,0.0001196493,0.002547744,0.0003355621,0.0008852897,0.00004631582,0.00008327854],"category_scores_gemma":[0.0002376778,0.00004364191,0.00001471154,0.0001715673,0.0002295206,0.002271042,0.003919709,0.0004220448,0.000003190443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005443644,"about_ca_system_score_gemma":0.0003398426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005236205,"about_ca_topic_score_gemma":0.0001182462,"domain_scores_codex":[0.9990498,0.0002046899,0.0003311977,0.000008740756,0.0002783378,0.0001272244],"domain_scores_gemma":[0.9989169,0.0002672826,0.0003551295,0.0001749646,0.0002048854,0.00008088448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001885891,0.00011823,0.004305104,0.00003540382,0.00001685028,9.624283e-8,0.7543508,0.000002867476,0.000003362598,0.006235822,0.002975396,0.2319372],"study_design_scores_gemma":[0.000192845,0.000226287,0.02909786,0.00008363505,0.00006077405,0.00003365817,0.7389174,0.000002425263,0.00006364894,0.05921845,0.1719547,0.0001482957],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332914,0.00009885425,0.0002347576,0.01108648,0.0003168131,0.00009955699,0.000001546981,0.00002159966,0.05484895],"genre_scores_gemma":[0.9983104,0.0004695549,0.0003021717,0.0006025801,0.00003714584,0.000001380978,8.830877e-7,0.000003330945,0.000272581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2317889,"threshold_uncertainty_score":0.9987508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1750663022772623,"score_gpt":0.4516349488481927,"score_spread":0.2765686465709304,"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."}}