{"id":"W1506156897","doi":"10.1515/9780773589391-016","title":"Labour Market Dynamics in Canada, 1891–1911: A First Look from New Census Samples","year":2014,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Immigration; Occupational mobility; Earnings; Geography; Demographic economics; Documentation; Occupational prestige; Demography; Political science; Economics; Sociology; Population; Socioeconomic status; Archaeology; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001317651,0.0005133802,0.001291046,0.0002259881,0.0004140814,0.00003238151,0.0006145602,0.0004751532,0.000449666],"category_scores_gemma":[0.00004395118,0.0007332052,0.0002599566,0.00002130728,0.0001262704,0.00006663387,0.0004080939,0.0005630761,0.00005239263],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009373069,"about_ca_system_score_gemma":0.000238775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832296,"about_ca_topic_score_gemma":0.5912244,"domain_scores_codex":[0.9978527,0.00002441289,0.0006507406,0.000872141,0.00008695921,0.0005130366],"domain_scores_gemma":[0.9982611,0.0002382708,0.0006522671,0.0005081514,0.00004845047,0.0002917621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005942394,0.000008250945,0.0008019557,0.00004155842,0.0002377132,0.00007321159,0.0001132673,0.00002225428,4.650782e-9,0.9685508,0.02946689,0.0006246727],"study_design_scores_gemma":[0.0007674131,0.00002035448,0.0008737855,0.00006878457,0.00004159319,2.593627e-7,0.0001070335,0.0001490492,2.298755e-7,0.01361868,0.9836074,0.0007454445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007939016,0.00005281522,0.0001994479,0.0003582233,0.0006084815,0.0003002915,0.01260359,0.00005076153,0.985747],"genre_scores_gemma":[0.008637005,0.000771016,0.0001803008,0.0002889739,0.0001971717,0.00000175815,0.0001459826,0.00007949438,0.9896983],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9549321,"threshold_uncertainty_score":0.9995119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936367461570798,"score_gpt":0.1621892059042309,"score_spread":0.1428255312885229,"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."}}