{"id":"W7071021332","doi":"","title":"Recruiting Gen Z Workers to Ontario Municipalities: A Study of How Ontario Municipalities Can Improve Recruitment Strategies to Attract Gen Z Workers","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Generational Differences and Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Local government; Obligation; Order (exchange); Best practice; Work (physics)","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":[0.004354807,0.0001995361,0.0002266549,0.0008989936,0.01455403,0.002084755,0.001120616,0.0007421775,0.002689433],"category_scores_gemma":[0.008213437,0.0004258144,0.0002434955,0.002078051,0.002670111,0.001186808,0.002321754,0.0008851451,0.000273888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04261415,"about_ca_system_score_gemma":0.074508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9273506,"about_ca_topic_score_gemma":0.9859357,"domain_scores_codex":[0.9975519,0.0008598732,0.00008224815,0.0001378454,0.0004415311,0.0009266217],"domain_scores_gemma":[0.9953497,0.0009813957,0.0008054251,0.0001789715,0.001274995,0.001409614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001730967,0.0003564208,0.2364576,0.0003736013,0.00001589204,0.001453703,0.7001496,0.0001566557,0.001334267,0.003296426,0.007212288,0.04902052],"study_design_scores_gemma":[0.00001956918,0.0001814853,0.2375036,0.0001300366,0.00001478321,0.00007273454,0.7332935,0.0002162329,0.000160954,0.00018401,0.02819952,0.0000235676],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882902,0.0001996629,0.0001775211,0.002136704,0.00002020472,0.0002832694,0.00007386774,0.00000691261,0.008811772],"genre_scores_gemma":[0.9849433,0.0009793415,0.0007992116,0.0008150741,0.000009796982,0.0002712415,0.00009280848,0.000008385544,0.01208097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07264936,"threshold_uncertainty_score":0.3091888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3213078944263179,"score_gpt":0.3874625699722016,"score_spread":0.06615467554588372,"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."}}