{"id":"W4389696530","doi":"10.1515/9780776638072-005","title":"2. The “Benevolent” Status Quo State: Understanding Canada’s Participation in Global Migration Governance","year":2023,"lang":"en","type":"book-chapter","venue":"University of Ottawa Press eBooks","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Status quo; Corporate governance; State (computer science); Political science; Political economy; Development economics; Economic system; Economic geography; Geography; Sociology; Economics; Law; Management; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002318088,0.0001186723,0.0001484112,0.00002466697,0.0004193835,0.00003851601,0.0002348054,0.0001278509,0.00002372343],"category_scores_gemma":[0.00004032367,0.0001281138,0.00004752354,0.00002330421,0.0002321004,0.00007108385,0.00004657841,0.0001402636,0.000001866159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851027,"about_ca_system_score_gemma":0.001310124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8573347,"about_ca_topic_score_gemma":0.9997611,"domain_scores_codex":[0.9987751,0.00007558579,0.0001860248,0.0001832805,0.0005232119,0.0002567841],"domain_scores_gemma":[0.9992239,0.0001148202,0.0003173327,0.0001513399,0.0001034395,0.0000890909],"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":[0.00002062638,0.000003362152,0.0003392737,0.00001152415,0.00002405642,0.00001053627,0.005101047,0.0003431483,4.185222e-7,0.9866399,0.006088613,0.001417523],"study_design_scores_gemma":[0.0002369657,0.00001334657,0.00131447,0.00008518951,0.00002820237,5.286267e-8,0.003088404,0.0008205357,0.000001587698,0.00695763,0.9872823,0.0001713417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001256354,0.00009987555,0.0003522363,0.000481486,0.000328269,0.0003423118,0.0005112872,0.00004357511,0.9965846],"genre_scores_gemma":[0.1734767,0.001469324,0.00002105769,0.00002450029,0.00002856255,4.034244e-7,0.0000389709,0.00001252381,0.8249279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9811937,"threshold_uncertainty_score":0.5224328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504576806175153,"score_gpt":0.2535596773323069,"score_spread":0.2185139092705554,"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."}}