{"id":"W2086536497","doi":"10.1080/13596748.2010.526796","title":"Work‐based learning in Canada and the United Kingdom: a framework for understanding knowledge transfer for workers with low skills and higher skills","year":2010,"lang":"en","type":"article","venue":"Research in Post-Compulsory Education","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Economic and Social Research Council","keywords":"Workforce; Variety (cybernetics); Work (physics); Knowledge transfer; Explanatory power; Work-based learning; Psychology; Knowledge management; Medical education; Pedagogy; Mathematics education; Computer science; Political science; Engineering; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003187501,0.0006646072,0.0007484886,0.00557203,0.0128637,0.01056148,0.002786646,0.001341812,0.002698353],"category_scores_gemma":[0.008541309,0.0002572099,0.0005129217,0.008377438,0.01606302,0.003374578,0.005799342,0.001715287,0.0001574911],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.148381,"about_ca_system_score_gemma":0.1235279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919408,"about_ca_topic_score_gemma":0.9928122,"domain_scores_codex":[0.9957826,0.00135747,0.0001683884,0.00027616,0.0009576488,0.001457701],"domain_scores_gemma":[0.9943209,0.002068492,0.0005116657,0.0002527215,0.001707514,0.00113875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002556089,0.000320738,0.1082445,0.0009801902,0.00008975935,0.002318333,0.4781745,0.004955314,0.0009121881,0.2565548,0.004232415,0.1429617],"study_design_scores_gemma":[0.00007270527,0.0001161162,0.2070199,0.001572496,0.0001062221,0.0004254514,0.6928793,0.004570803,0.0005369344,0.02393951,0.06860399,0.000156597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080168,0.007831268,0.005348524,0.009118645,0.00008889497,0.0003608183,0.0004592616,0.00006057325,0.1687151],"genre_scores_gemma":[0.995067,0.0009072252,0.001566685,0.0001511441,0.000003151558,0.00005998042,0.00007832261,0.00000648633,0.002159907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148381,"threshold_uncertainty_score":0.9877574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07754533198504661,"score_gpt":0.4078646089292574,"score_spread":0.3303192769442108,"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."}}