{"id":"W7161976065","doi":"10.82308/55496","title":"Geographies of contingency and urban form: The trajectories and work locations of Toronto’s temporary staffers","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Contingency; Paid work","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":[0.0002921679,0.0001445893,0.0001317679,0.001124415,0.001641563,0.001595563,0.0003914137,0.0003028804,0.005168925],"category_scores_gemma":[0.002087115,0.0001767505,0.0002087053,0.002944785,0.0008376433,0.0006139515,0.001289793,0.0002675637,0.0003859468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005899357,"about_ca_system_score_gemma":0.005268991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8450081,"about_ca_topic_score_gemma":0.9494318,"domain_scores_codex":[0.9997345,0.00005899012,0.00001512451,0.00003640252,0.00006139486,0.00009358482],"domain_scores_gemma":[0.998681,0.0002614754,0.0003851993,0.00007518837,0.0002905791,0.0003065084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008308133,0.00001115186,0.8748258,0.0001023493,0.00002628061,0.0003037201,0.1070367,0.0005725558,0.0007566481,0.001574849,0.001659379,0.01304744],"study_design_scores_gemma":[0.000001206556,0.00002017412,0.8805916,0.00006614575,0.000007925949,0.0000431744,0.1143801,0.000180127,0.00009843757,0.00008303595,0.004516213,0.00001181042],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946533,0.0002606102,0.0001796464,0.0002934983,0.000006872079,0.00001291304,0.001373959,0.000004346509,0.003214678],"genre_scores_gemma":[0.9968264,0.0002503336,0.0001624073,0.00001024424,0.000002242369,0.00001264884,0.0003830942,0.000003006035,0.002349492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549919,"threshold_uncertainty_score":0.3118094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375415132952585,"score_gpt":0.3627850020651834,"score_spread":0.3290308507356576,"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."}}