{"id":"W4382678237","doi":"10.1080/08865655.2023.2229843","title":"Moving to a Non-Metropolitan Area: The Information Channels of International Migrants Going to the Department of Calvados","year":2023,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distrust; Context (archaeology); Metropolitan area; Ambivalence; Sociology; Typology; Capital (architecture); Control (management); Political science; Work (physics); Economic geography; Regional science; Public relations; Social psychology; Economics; Geography; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181847,0.00005889431,0.0001671201,0.0001876042,0.0002301108,0.0000340148,0.0002540897,0.00001936024,0.000008875605],"category_scores_gemma":[0.0009804157,0.00003178387,0.0000747765,0.0005717254,0.00006055709,0.0001659443,0.00007023029,0.00006942424,0.000005587541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094155,"about_ca_system_score_gemma":0.00007695793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002392111,"about_ca_topic_score_gemma":0.00689129,"domain_scores_codex":[0.9988386,0.00005719245,0.0004163834,0.0000376989,0.0005217812,0.0001283656],"domain_scores_gemma":[0.9986973,0.0002152912,0.0003262955,0.00006826121,0.0006487655,0.00004405228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000212602,0.00009440591,0.03814042,0.00006587454,0.0009430933,0.000004850533,0.8051687,0.01583252,0.000198215,0.006965063,0.1172144,0.01515987],"study_design_scores_gemma":[0.0008821906,0.0005310946,0.05006799,0.0004219641,0.0001006173,0.000004430619,0.6758493,0.005947225,0.0002318792,0.000679962,0.2650844,0.0001989526],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688151,0.0001870554,0.001176824,0.02718907,0.000845427,0.0002532517,0.00003508093,0.000007059251,0.001491141],"genre_scores_gemma":[0.9983123,0.0007802828,0.0001392747,0.0003465511,0.0001508135,0.000007703682,0.000001694493,0.000002513812,0.0002588439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14787,"threshold_uncertainty_score":0.3845502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463042325350585,"score_gpt":0.3362135185436616,"score_spread":0.3115830952901558,"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."}}