{"id":"W4401686229","doi":"10.17645/si.9203","title":"Considering Power and Institutional Change in the Study of Migration’s Impact on Non‐Migrants: Commentary on Schut &amp; Crul (2024) and Keskiner et al. (2024)","year":2024,"lang":"en","type":"article","venue":"Social Inclusion","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Diversity (politics); Power (physics); Institutional racism; Sociology; Racism; Empirical research; Migration studies; Political science; Demographic economics; Political economy; Positive economics; Gender studies; Economics; Law; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03248698,0.001205459,0.002507509,0.002019729,0.01257357,0.008698164,0.01075209,0.04215847,0.003877044],"category_scores_gemma":[0.06395006,0.0007709952,0.00195163,0.002779004,0.04428551,0.02113425,0.008112986,0.04715143,0.001922652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01674193,"about_ca_system_score_gemma":0.02431727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08895477,"about_ca_topic_score_gemma":0.128167,"domain_scores_codex":[0.9764615,0.01533217,0.001374688,0.002259218,0.003157197,0.001415185],"domain_scores_gemma":[0.8896106,0.09541534,0.002159293,0.001476816,0.008202008,0.003135927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006129306,0.00002152684,0.0002499537,0.001061388,0.0000303999,0.0004159026,0.02201603,0.0000771106,0.0001124644,0.04368263,0.9167441,0.01552729],"study_design_scores_gemma":[0.00004151275,0.00003831762,0.0007781362,0.004364299,0.00003418219,0.000440277,0.03027759,0.0001217812,0.0001926129,0.04285045,0.9207478,0.000113171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002477492,0.02325791,0.0001181343,0.9632787,0.01243003,0.000004379432,0.00002029959,0.000004743372,0.0006382235],"genre_scores_gemma":[0.01096045,0.0142663,0.0003270647,0.9559535,0.01644069,0.00007542529,0.00001746345,0.00003404178,0.001925011],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08895477,"threshold_uncertainty_score":0.176874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715860065406541,"score_gpt":0.3792589681789423,"score_spread":0.3421003675248769,"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."}}