{"id":"W2343830056","doi":"10.1111/spol.12230","title":"Deciphering Deservedness: Canadian Employment Insurance Reforms in Historical Perspective","year":2016,"lang":"en","type":"article","venue":"Social Policy and Administration","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"Government of Canada; Australian Government","keywords":"Unemployment; Work (physics); Government (linguistics); Perspective (graphical); Wage; Situated; Service (business); Labour economics; Job security; Economics; Political science; Economic growth; Economy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000185079,0.00009365675,0.0001395697,0.00009148864,0.0007244435,0.000006358781,0.0000485065,0.0001156003,0.00002462794],"category_scores_gemma":[0.0002193765,0.00006624588,0.00002532551,0.0001455899,0.00004793741,0.0001456432,0.00002398652,0.0001190295,0.00001220086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911303,"about_ca_system_score_gemma":0.0007293947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2737263,"about_ca_topic_score_gemma":0.6716841,"domain_scores_codex":[0.9990826,0.00008914578,0.0002302349,0.0001595445,0.00009537463,0.0003431433],"domain_scores_gemma":[0.9996383,0.00005966156,0.00006710488,0.00005482718,0.00006742771,0.0001126339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001388146,0.00006268905,0.6392341,0.00004907091,0.00002866828,0.00001301088,0.03042519,6.319834e-8,0.0003072982,0.3109713,0.003142658,0.01562724],"study_design_scores_gemma":[0.0006881041,0.00009552287,0.9492763,0.00008571539,0.000003628865,4.404814e-7,0.00405907,3.243285e-7,0.00002058648,0.01772249,0.0279051,0.0001427266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951662,0.00008901048,0.00001458937,0.08357764,0.0001957055,0.0002562036,0.00002543152,0.00003181328,0.02064338],"genre_scores_gemma":[0.9945093,0.00007800692,0.00001018362,0.0005311002,0.0009040953,0.00007769329,0.000002478248,0.000009401984,0.003877774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3979579,"threshold_uncertainty_score":0.7612955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760914899476712,"score_gpt":0.4150811677419424,"score_spread":0.3389896777942712,"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."}}