{"id":"W7042416865","doi":"","title":"The \"Othering\" process: exploring the instrumentalisation of law in migration policy","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Cambridge; Princeton University; World Health Organization","keywords":"Wonder; Nothing; Guard (computer science); Midnight; Happening; Atmosphere (unit); Front (military); Reading (process); Ridiculous","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02233146,0.0004629936,0.000581852,0.00195901,0.01657571,0.01779605,0.003613231,0.009721197,0.01315394],"category_scores_gemma":[0.02546862,0.000316672,0.000959383,0.002111068,0.07155338,0.02394457,0.01249222,0.009999942,0.0004294657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02085419,"about_ca_system_score_gemma":0.02093839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02436203,"about_ca_topic_score_gemma":0.01592343,"domain_scores_codex":[0.9805941,0.01360825,0.0002620217,0.001111314,0.001194566,0.003229829],"domain_scores_gemma":[0.9666232,0.02706142,0.001575593,0.001074424,0.00183956,0.001825777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006937225,0.00002059594,0.0003561173,0.00002242373,0.000002592702,0.0001131649,0.03535588,0.0001049975,0.0000221557,0.9618118,0.0007977905,0.001385479],"study_design_scores_gemma":[0.00003807854,0.00003507488,0.001689309,0.0006610884,0.00001724908,0.0001037747,0.2586612,0.0008320811,0.0001686561,0.6495832,0.08817965,0.00003065073],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1257886,0.001913081,0.01482741,0.1748349,0.0004255803,0.0002001555,0.00007420323,0.00004518975,0.681891],"genre_scores_gemma":[0.9860979,0.0004192549,0.0008079441,0.004034133,0.00008710966,0.0000942804,0.00001241992,0.00002439513,0.00842244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02436203,"threshold_uncertainty_score":0.1513084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963111986121808,"score_gpt":0.2990371270779709,"score_spread":0.2694060072167528,"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."}}