{"id":"W4400931574","doi":"10.55016/ojs/pplt.v5y2022.72966","title":"Unstable Ground: How Mentorship Altered Our View of Experiential and Active Education on Student Learning","year":2022,"lang":"en","type":"article","venue":"Papers on postsecondary learning and teaching.","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medicine Hat College","funders":"","keywords":"Experiential learning; Mentorship; Active learning (machine learning); Thematic analysis; Pedagogy; Psychology; Peer mentoring; Inclusion (mineral); Peer learning; Mathematics education; Qualitative research; Medical education; Sociology; Medicine; Computer science; Social psychology","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":[0.02506104,0.0005119096,0.0007370489,0.002422412,0.0162681,0.02528007,0.003326176,0.004721682,0.008373426],"category_scores_gemma":[0.04509092,0.0005102137,0.001167949,0.001828433,0.03187526,0.01908249,0.0184475,0.01035513,0.0006295168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01226093,"about_ca_system_score_gemma":0.008533039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007257111,"about_ca_topic_score_gemma":0.00669861,"domain_scores_codex":[0.9668328,0.02162363,0.000764131,0.0024329,0.004412633,0.003933865],"domain_scores_gemma":[0.9631897,0.0218486,0.003320185,0.003631884,0.003639127,0.004370448],"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":[0.0001701003,0.000287474,0.01399547,0.0001444129,0.00005299366,0.001628024,0.64827,0.0005828595,0.001779092,0.2717835,0.002977655,0.05832851],"study_design_scores_gemma":[0.00005637913,0.0007023988,0.01185724,0.0006236736,0.00009065076,0.0008297749,0.7043563,0.003401097,0.002993936,0.1486133,0.12632,0.0001553437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7820114,0.001136631,0.04873264,0.07395333,0.001584947,0.0001582942,0.00005932254,0.0002321863,0.09213123],"genre_scores_gemma":[0.9924363,0.0001374102,0.001416912,0.001074084,0.00007420042,0.00002970094,0.00001132204,0.00006261903,0.00475744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02528007,"threshold_uncertainty_score":0.1325371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041872306928867,"score_gpt":0.3375685018825062,"score_spread":0.3171497788132175,"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."}}