{"id":"W4400451808","doi":"10.1002/casp.2840","title":"Health citizenship reveals ‘extra’ work managing biopolitical risk for immigrants in <scp>Canada</scp> during <scp>COVID</scp> ‐19: <scp>A</scp> qualitative study","year":2024,"lang":"en","type":"article","venue":"Journal of Community & Applied Social Psychology","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Toronto Metropolitan University","keywords":"Citizenship; Public health; Qualitative research; Immigration; Sociology; Political science; Public relations; Social psychology; Psychology; Medicine; Politics; Social science; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01346231,0.0006757698,0.00207753,0.0008454837,0.005130188,0.00007925688,0.00112675,0.0005709299,0.00001285674],"category_scores_gemma":[0.004364628,0.0006534115,0.000422266,0.001266454,0.0004909259,0.0001483183,0.0004514481,0.007018754,0.00003065527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432725,"about_ca_system_score_gemma":0.00128427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02820564,"about_ca_topic_score_gemma":0.08446376,"domain_scores_codex":[0.9831209,0.01037746,0.00293262,0.0004947844,0.0008675055,0.002206721],"domain_scores_gemma":[0.966142,0.0305428,0.001631181,0.0006061167,0.0003978953,0.0006800098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000115727,0.0008512119,0.06136184,0.001147831,0.001285633,0.00009871025,0.6760129,0.000006940249,0.00007845402,0.01217872,0.2458511,0.001010999],"study_design_scores_gemma":[0.003715715,0.0003971713,0.2961484,0.0003601477,0.0001644612,0.00001148147,0.6092456,9.692748e-7,0.000002046703,0.0824765,0.007402221,0.00007520062],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769656,0.002066132,0.0004295645,0.007668877,0.001940701,0.002225302,0.0002155905,0.0001454078,0.0083428],"genre_scores_gemma":[0.9897813,0.0005472737,0.0002079981,0.006441828,0.001464605,0.0003039176,0.00003220484,0.000139854,0.001081024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384489,"threshold_uncertainty_score":0.9995917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123348493817462,"score_gpt":0.4801726288999735,"score_spread":0.3678377795182273,"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."}}