{"id":"W2904590538","doi":"10.1177/1532708618817880","title":"The Power of Inclusion: Theorizing “Abjectivity” and Agency Under DACA","year":2018,"lang":"en","type":"article","venue":"Culture Studies &#x2194 Critical Methodologies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; California State University, Sacramento; Harvard University; John D. and Catherine T. MacArthur Foundation; Bill and Melinda Gates Foundation","keywords":"Deportation; Agency (philosophy); Liminality; Immigration; Power (physics); Inclusion (mineral); Sociology; Authorization; Political science; Criminology; Public administration; Gender studies; Law; Social science; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003554806,0.0001486355,0.0002914037,0.00003152141,0.003867343,0.00006921093,0.0002384227,0.0001524062,0.00004480889],"category_scores_gemma":[0.04100658,0.00007978736,0.00007644515,0.0002497253,0.004703034,0.0002539867,0.000451162,0.0001806534,0.000004019025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005085663,"about_ca_system_score_gemma":0.00005497714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008174426,"about_ca_topic_score_gemma":0.001589931,"domain_scores_codex":[0.9970901,0.001722801,0.0002753453,0.0002619853,0.0003374592,0.0003122907],"domain_scores_gemma":[0.9935318,0.005323392,0.00007753931,0.0001863688,0.0008263017,0.00005461152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002813068,0.00001610151,0.0001133064,0.0000171669,0.00005247858,4.285849e-7,0.1962781,1.288937e-7,0.00179221,0.7909312,0.002832867,0.00793789],"study_design_scores_gemma":[0.00007487142,0.0002588159,0.002052825,0.0000449386,0.0000434112,0.000001286791,0.2008489,0.000002112375,0.002514957,0.7443842,0.04964078,0.0001328831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4153314,0.1418601,0.1134944,0.06995428,0.01045505,0.001812459,0.00003824077,0.0007227365,0.2463313],"genre_scores_gemma":[0.9754966,0.005313591,0.01751595,0.0003578741,0.0005196825,0.00002252833,6.796243e-7,0.000007116444,0.0007659823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5601652,"threshold_uncertainty_score":0.9980056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277962403898947,"score_gpt":0.4728668560496753,"score_spread":0.3450706156597806,"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."}}