{"id":"W2912304549","doi":"10.1111/1468-2427.12728","title":"Interlocking Lives: Employment Mobility and Family Fixity in Three Gentrifying Neighbourhoods of Montreal","year":2019,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Sociology; Borough; Social mobility; Relocation; Demographic economics; Work (physics); Paid work; Gender studies; Labour economics; Economic growth; Economics; Political science; Working hours; Social science; Public administration","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":[0.0004467227,0.0003734471,0.0003394825,0.001250847,0.007360563,0.001893242,0.001155146,0.0004815694,0.003629144],"category_scores_gemma":[0.001366217,0.0002397262,0.0003315621,0.002183782,0.002951545,0.000677068,0.002788909,0.0007121235,0.0001666901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02357615,"about_ca_system_score_gemma":0.008696663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674096,"about_ca_topic_score_gemma":0.9905657,"domain_scores_codex":[0.9995073,0.0001097698,0.000008225655,0.00005964972,0.00006701478,0.000248057],"domain_scores_gemma":[0.9992431,0.00009009174,0.000123451,0.00002820564,0.0001634338,0.0003517717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002564293,0.000201778,0.6741452,0.0001042314,0.00007759614,0.002588697,0.2915986,0.0006753555,0.001343462,0.002502333,0.003479182,0.0230271],"study_design_scores_gemma":[0.000006519095,0.00007476236,0.725197,0.00005079326,0.000014041,0.000114728,0.2691157,0.0002332565,0.0001207625,0.0001494018,0.004884349,0.00003872462],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981694,0.000133248,0.00003386242,0.0001732555,0.000004435984,0.00001640359,0.0002330799,0.000002461731,0.001233949],"genre_scores_gemma":[0.9984872,0.0001301644,0.00005692833,0.00003156906,0.000002899351,0.00001434858,0.0001095131,0.000002156016,0.001165292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03259039,"threshold_uncertainty_score":0.1710578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09240572581082855,"score_gpt":0.3180497641192882,"score_spread":0.2256440383084596,"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."}}