{"id":"W2131661606","doi":"","title":"Building lectures and building bridges with socio-economically disadvantaged students","year":2011,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Mathematics education; Academic achievement; Class (philosophy); Socioeconomic status; Quarter (Canadian coin); Blended learning; Student engagement; Educational technology; Computer science; Psychology; Medical education; Sociology; Medicine; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002734997,0.0004329582,0.000360343,0.0008305209,0.004182151,0.003325726,0.001609707,0.001198592,0.01076759],"category_scores_gemma":[0.005735859,0.0003144098,0.0003218094,0.0002948655,0.001389519,0.001436135,0.006219568,0.001310708,0.002400913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006811292,"about_ca_system_score_gemma":0.002434592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538488,"about_ca_topic_score_gemma":0.002983965,"domain_scores_codex":[0.9983145,0.0008093463,0.00003999875,0.000188386,0.0001684343,0.0004793755],"domain_scores_gemma":[0.994306,0.001201646,0.0005172566,0.000414814,0.0002449878,0.003315271],"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":[0.0006735662,0.02802507,0.1780467,0.0006331888,0.00006433324,0.002874418,0.1899427,0.00168872,0.02354127,0.006137085,0.01236101,0.5560119],"study_design_scores_gemma":[0.00061916,0.02140957,0.3201016,0.0007854731,0.0002497946,0.002879306,0.3695555,0.004853626,0.02383965,0.01068493,0.2447474,0.0002740409],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913082,0.0001033711,0.001061217,0.0004843264,0.00003405341,0.0001213238,0.00001529413,0.00005708036,0.006815116],"genre_scores_gemma":[0.9877321,0.0002411025,0.005269459,0.0002026263,0.00002905575,0.0001330804,0.00003689828,0.00001204377,0.006343584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076759,"threshold_uncertainty_score":0.03602111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04201229273065522,"score_gpt":0.3711995936002522,"score_spread":0.329187300869597,"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."}}