{"id":"W3141402191","doi":"","title":"Learning and growing on the job : the connection between life learning and experience","year":2015,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Connection (principal bundle); Psychology; Mathematics education; Engineering; Mechanical engineering","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":[0.002244447,0.0002312596,0.0002705104,0.0009393601,0.003243875,0.01148797,0.0006915248,0.001263907,0.00788576],"category_scores_gemma":[0.007446181,0.0001846414,0.0001773397,0.001152268,0.01407551,0.005695426,0.004081329,0.00286675,0.000669831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642502,"about_ca_system_score_gemma":0.003971581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00851528,"about_ca_topic_score_gemma":0.0170435,"domain_scores_codex":[0.9982704,0.0009727559,0.00002993177,0.0001611636,0.000286846,0.0002788343],"domain_scores_gemma":[0.9944899,0.003042951,0.0003983494,0.0002116649,0.0003260803,0.001530976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000132768,0.0003933839,0.01878263,0.000453132,0.00002710223,0.0007766346,0.5710925,0.0002371558,0.000937234,0.2466194,0.01566202,0.144886],"study_design_scores_gemma":[0.0000287258,0.0001611149,0.07531533,0.000999334,0.00003131793,0.0006468929,0.5711218,0.0006096555,0.0004518433,0.177734,0.172823,0.00007696269],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4631338,0.01073813,0.005869638,0.04428172,0.0006658872,0.00008176859,0.0001779034,0.00006407516,0.4749871],"genre_scores_gemma":[0.9852578,0.002752251,0.001179049,0.000838264,0.00007976668,0.00003015919,0.00004275858,0.00004472918,0.009775209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01148797,"threshold_uncertainty_score":0.02638048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051297163823728,"score_gpt":0.4761177938133777,"score_spread":0.3709880774310049,"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."}}