{"id":"W340350129","doi":"10.13169/worlrevipoliecon.3.3.0354","title":"South-North Nurse Migration and Accumulation by Dispossession in the Late 20th and Early 21st Centuries","year":2012,"lang":"en","type":"article","venue":"World Review of Political Economy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic shortage; Inequality; Global South; Political science; Development economics; Economics; Economic geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073842,0.00006368151,0.0001417185,0.00003334594,0.00009896189,0.00004143762,0.00005684585,0.00002247081,0.00005280581],"category_scores_gemma":[0.00008223392,0.00004405395,0.00002444543,0.0001336257,0.00018546,0.0003176412,0.000009316966,0.000070114,0.000003293659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002588721,"about_ca_system_score_gemma":0.00002454008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000583482,"about_ca_topic_score_gemma":0.01017943,"domain_scores_codex":[0.9992172,0.000194429,0.0002348384,0.0000752323,0.00007600532,0.0002022986],"domain_scores_gemma":[0.999593,0.0001173362,0.00008222586,0.00007570578,0.00002643701,0.0001052606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001364521,0.00002377172,0.2972762,0.0001931484,0.000002077055,4.178523e-8,0.005487916,1.457085e-7,6.134561e-7,0.6954938,0.0003175274,0.001203441],"study_design_scores_gemma":[0.0001957662,0.00001663789,0.5997357,0.0006784214,0.00004178282,4.285664e-7,0.004569573,0.000105156,0.000003798298,0.002165756,0.3923201,0.0001669044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491946,0.01458201,0.00002704425,0.01384461,0.00006499442,0.0004629084,0.0000181517,0.00001067115,0.021795],"genre_scores_gemma":[0.9950402,0.003126928,0.00002810965,0.001376216,0.000066049,0.00001146567,0.00001621773,0.00000301531,0.0003318075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.693328,"threshold_uncertainty_score":0.5680363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879160866975232,"score_gpt":0.3220778429583056,"score_spread":0.3032862342885533,"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."}}