{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002440016,0.00009201572,0.000149415,0.0001044591,0.001882405,0.0002115153,0.0002060062,0.0001433113,0.000778078],"category_scores_gemma":[0.006287425,0.0000733332,0.0000523622,0.0006359027,0.0001418576,0.001042197,0.00009160637,0.0003808266,0.000110993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832955,"about_ca_system_score_gemma":0.0002648349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653761,"about_ca_topic_score_gemma":0.003731452,"domain_scores_codex":[0.9973395,0.001252783,0.0003166858,0.0002065599,0.0006518523,0.0002325839],"domain_scores_gemma":[0.9962465,0.001492365,0.001159622,0.0001135884,0.0009271466,0.00006078278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000284565,0.0006019495,0.01540256,0.00006576208,0.0001329575,0.000001003055,0.6103895,0.0002148946,0.0302941,0.01963619,0.009244035,0.3137325],"study_design_scores_gemma":[0.0006250974,0.0007326194,0.04874821,0.0001959208,0.000127119,0.000002283079,0.1965493,0.0000856407,0.01598981,0.004101937,0.7324241,0.000417944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799452,0.00002178043,0.0001369629,0.2082761,0.0003659298,0.0005659527,0.000001016288,0.0000648147,0.0106223],"genre_scores_gemma":[0.995412,0.00006327477,0.0003300984,0.002169739,0.0003672598,0.00005521382,0.00001113348,0.00000996335,0.00158135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7231801,"threshold_uncertainty_score":0.999417,"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."}}