{"id":"W2993083752","doi":"10.18357/bigr11201919265","title":"Making Precarious: The Construction of Precarity in Refugee and Migrant Discourse","year":2019,"lang":"en","type":"article","venue":"Borders in Globalization Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precarity; Normative; State (computer science); Queer; Sociology; Refugee; Gender studies; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0118806,0.0009097704,0.0008054237,0.003415798,0.0351879,0.01446987,0.002436875,0.004291913,0.002472147],"category_scores_gemma":[0.01490239,0.0006573175,0.000638039,0.002115048,0.1245048,0.01400413,0.01515444,0.008063269,0.0002101472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01605666,"about_ca_system_score_gemma":0.0126545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06398252,"about_ca_topic_score_gemma":0.05310355,"domain_scores_codex":[0.9894958,0.007519769,0.0003072088,0.0006739506,0.000884141,0.001119261],"domain_scores_gemma":[0.9917126,0.005754814,0.0007538588,0.0006139191,0.0005549244,0.0006098943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006941304,0.000002708064,0.0002295914,0.00002012611,0.000001264644,0.0001588092,0.937956,0.00001635597,0.0001034883,0.06071596,0.0001094309,0.0006793211],"study_design_scores_gemma":[0.000008346581,0.00002078727,0.0007615204,0.0003267496,0.000009569503,0.0003506645,0.9334158,0.0001118567,0.0003093659,0.02825338,0.03640277,0.0000292203],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7824607,0.005875496,0.008695134,0.02695652,0.0003135762,0.00009576052,0.00004842431,0.0000749632,0.1754794],"genre_scores_gemma":[0.9965629,0.000476968,0.000440918,0.0004075504,0.00002626368,0.00001975181,0.00000986806,0.00002260912,0.002033148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06398252,"threshold_uncertainty_score":0.1272202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804941072180601,"score_gpt":0.3675466692356561,"score_spread":0.3494972585138501,"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."}}