{"id":"W6983442009","doi":"","title":"Meeting challenges in the face of change: how the newly independent 4-H Ontario is learning to do by doing","year":2006,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Archaeology and Historical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Focus group; Organization development; Government (linguistics); Face (sociological concept); Process (computing); Independence (probability theory); Capacity building","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":[0.003170937,0.0002940822,0.0002913284,0.0009207008,0.02869851,0.008542133,0.00223614,0.001958194,0.004034449],"category_scores_gemma":[0.005509131,0.0004323109,0.0002902145,0.001940345,0.01367112,0.003594434,0.004488523,0.001991385,0.0004049041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05919151,"about_ca_system_score_gemma":0.09240612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9017015,"about_ca_topic_score_gemma":0.9753296,"domain_scores_codex":[0.9957159,0.001670611,0.00007099398,0.0002415963,0.0007339885,0.001566871],"domain_scores_gemma":[0.9953329,0.0006985854,0.0004707508,0.000173572,0.0009578784,0.00236641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003555244,0.00004688266,0.02267602,0.0001137204,0.00001158249,0.001821201,0.9291599,0.0001780328,0.000633576,0.01019087,0.01345935,0.02167327],"study_design_scores_gemma":[0.000003351611,0.00002761666,0.01529388,0.00006572128,0.000006486909,0.000128428,0.9100695,0.000070472,0.000122453,0.0006560065,0.07353729,0.00001897611],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492548,0.001050985,0.001373145,0.03654469,0.0001893008,0.0002502727,0.0001705699,0.00007107871,0.1110951],"genre_scores_gemma":[0.9735795,0.000836843,0.001119125,0.001162133,0.00001688315,0.00006471114,0.00005437566,0.00002791866,0.02313864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09829855,"threshold_uncertainty_score":0.4294665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522513275261659,"score_gpt":0.2209204237962619,"score_spread":0.168669096270096,"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."}}