{"id":"W1548031457","doi":"","title":"Reflection on “Ways of Seeing the Recognition of Prior Learning: What Contribution Can Such Practices Make to Social Inclusion?”","year":2013,"lang":"en","type":"article","venue":"","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Premise; Variety (cybernetics); Sociology; Epistemology; Reading (process); Politics; Inclusion (mineral); Sight; Reflection (computer programming); Pedagogy; Social science; Computer science; Political science; Law; Philosophy; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01057186,0.0004676743,0.0003841384,0.00113668,0.006627111,0.01045037,0.001973532,0.00618225,0.00405515],"category_scores_gemma":[0.01684506,0.0002825993,0.0005636947,0.001219898,0.05188349,0.01922527,0.0107443,0.01144057,0.0009948366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00561908,"about_ca_system_score_gemma":0.003631995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003544022,"about_ca_topic_score_gemma":0.004744389,"domain_scores_codex":[0.9909977,0.006264351,0.0001507432,0.0007191998,0.001126383,0.0007416225],"domain_scores_gemma":[0.9850978,0.01101942,0.0008597908,0.001269782,0.0009847805,0.0007684084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002215227,0.00004531717,0.0005544124,0.0001295063,0.000008188848,0.0002286696,0.2608797,0.0001447769,0.0003829497,0.6417265,0.05890121,0.03697664],"study_design_scores_gemma":[0.000007187037,0.00003757268,0.0007619462,0.0005272095,0.000006243681,0.0002118954,0.08338528,0.0002292652,0.0007137717,0.1753274,0.7387591,0.00003307702],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0502787,0.01146787,0.03012174,0.6775154,0.007620223,0.00007255754,0.00005094089,0.0001057536,0.2227669],"genre_scores_gemma":[0.8411165,0.01038985,0.008870994,0.06954418,0.004014011,0.0001746544,0.00005552376,0.0002176789,0.06561653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01057186,"threshold_uncertainty_score":0.05591005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053811873736998,"score_gpt":0.4140200406388736,"score_spread":0.3086388532651738,"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."}}