{"id":"W2048681510","doi":"10.7202/012070ar","title":"The Mixed Social Economy of Unemployment Relief in Regina during the 1930s","year":2004,"lang":"en","type":"article","venue":"Journal of the Canadian Historical Association","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economy; Social economy; Sociology; Humanities; Political science; Economics; Art; Economic growth; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001750099,0.0003530226,0.0006515728,0.002100797,0.01328162,0.004506996,0.001504979,0.002340758,0.004274442],"category_scores_gemma":[0.002524578,0.000505439,0.0005061918,0.002184432,0.01013268,0.002124454,0.007304075,0.002477803,0.000895105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02461781,"about_ca_system_score_gemma":0.008000129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.603858,"about_ca_topic_score_gemma":0.7708888,"domain_scores_codex":[0.9972789,0.0004964907,0.00006552631,0.0001968349,0.000223902,0.001738483],"domain_scores_gemma":[0.9992317,0.00009989704,0.0001808676,0.00005810196,0.0001467653,0.000282728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007969894,0.0002004696,0.1527552,0.0008363217,0.0002357178,0.00462074,0.607938,0.0008311574,0.003903963,0.1219305,0.01832919,0.08762176],"study_design_scores_gemma":[0.00002696499,0.0001164932,0.5675097,0.0007182506,0.00006202181,0.0007451577,0.1827278,0.000102078,0.0004863807,0.002497597,0.2448915,0.0001161256],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163989,0.01589859,0.0001350685,0.008727234,0.0001880439,0.00003197126,0.0005422435,0.00003011128,0.05804788],"genre_scores_gemma":[0.9929114,0.002084323,0.00006217475,0.0005500236,0.00006259907,0.0000126201,0.00008167986,0.00001687898,0.004218352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.396142,"threshold_uncertainty_score":0.7969499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008069681150633464,"score_gpt":0.1978310305109276,"score_spread":0.1897613493602942,"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."}}