{"id":"W6965002219","doi":"10.32920/26356657","title":"Inner Border Making in Canada: Tracing gendered and raced processes of immigration policy changes between 2006 and 2015","year":2024,"lang":"en","type":"article","venue":"","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Naturalization; Citizenship; Narrative; Immigration policy; Racialization; Immigration law; Situated; Injustice","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003877462,0.0004031,0.0005022273,0.004053098,0.03069995,0.00988133,0.002198695,0.001433586,0.003810836],"category_scores_gemma":[0.008894966,0.0004808233,0.0003891904,0.007188215,0.01361695,0.003170678,0.007593717,0.003300235,0.0002643404],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.17214,"about_ca_system_score_gemma":0.1565979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994935,"about_ca_topic_score_gemma":0.9975284,"domain_scores_codex":[0.9959273,0.0005120327,0.00007784121,0.0004212153,0.001209283,0.001852258],"domain_scores_gemma":[0.9938152,0.001309321,0.0008098115,0.0002266323,0.002580297,0.001258859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006197876,0.00002513358,0.03843283,0.00008071715,0.00001218849,0.0003692255,0.9195011,0.0001299375,0.0004485787,0.01459824,0.006163563,0.02017657],"study_design_scores_gemma":[0.000002494586,0.00001280757,0.08312863,0.0001724459,0.00001057305,0.00005244323,0.8586541,0.000163943,0.0002957392,0.0006350568,0.05682436,0.00004739383],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466238,0.00162477,0.0005608305,0.008064696,0.0001189082,0.00007040796,0.001044829,0.00002833273,0.04186342],"genre_scores_gemma":[0.9881886,0.000980855,0.0004228413,0.0007479578,0.00001583783,0.00003726431,0.0003431815,0.00003468785,0.009228883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17214,"threshold_uncertainty_score":0.9602002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240729959714263,"score_gpt":0.2470141598167879,"score_spread":0.2246068602196452,"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."}}