{"id":"W7098214871","doi":"","title":"1 Canadian Citizenship: Three Stories of Informal Learning","year":2004,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Informal learning; Informal education; Experiential learning; Work (physics); Qualitative research","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":[0.003138515,0.0007512036,0.0005131031,0.002546644,0.06741514,0.01693914,0.002536012,0.008208121,0.01569318],"category_scores_gemma":[0.009409691,0.0003868981,0.000435468,0.005282464,0.02877855,0.006916129,0.009832195,0.01120709,0.001139885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08050988,"about_ca_system_score_gemma":0.07693525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9716702,"about_ca_topic_score_gemma":0.9837774,"domain_scores_codex":[0.9935587,0.001609003,0.00006109193,0.0003937483,0.001474025,0.002903396],"domain_scores_gemma":[0.9889889,0.002488472,0.0005408511,0.0004722266,0.002359364,0.005150114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005859591,0.00004916384,0.003581275,0.0000626425,0.000008761605,0.001005218,0.6272448,0.0001233621,0.0001341239,0.1995799,0.1523899,0.01576231],"study_design_scores_gemma":[0.000009683169,0.00001274709,0.003997389,0.0001474158,0.000007952482,0.0001631743,0.3135799,0.00008336709,0.00007120715,0.008578866,0.6732975,0.00005081012],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1549986,0.003440956,0.001280161,0.2020914,0.001489641,0.00009087642,0.000692664,0.000128869,0.6357868],"genre_scores_gemma":[0.8582427,0.001704051,0.0004249851,0.01611456,0.0003473053,0.0000497904,0.0002078614,0.0001291095,0.1227796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08050988,"threshold_uncertainty_score":0.5841428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351956629557725,"score_gpt":0.1877371453035379,"score_spread":0.1542175790079607,"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."}}