{"id":"W4311527575","doi":"10.1177/00208728221136969","title":"Practice reflection: How social workers can use an intersectionality lens to understand recent older refugees falling through the cracks in services: Using Vancouver, Canada, as an example","year":2022,"lang":"en","type":"article","venue":"International Social Work","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intersectionality; Refugee; Falling (accident); Social work; Reflection (computer programming); Sociology; Lens (geology); Gender studies; Service (business); Political science; Medicine; Engineering; Business; Law; Computer science; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001629318,0.0001933814,0.0001876435,0.00008692114,0.01005313,0.0006381086,0.0006437566,0.0001260423,0.002048303],"category_scores_gemma":[0.0005012455,0.0002155445,0.00007782941,0.002358041,0.0001499466,0.001728559,0.0001409438,0.0007270022,0.000003748494],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006311391,"about_ca_system_score_gemma":0.00203496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8626899,"about_ca_topic_score_gemma":0.9652596,"domain_scores_codex":[0.9951741,0.002037317,0.0003448031,0.0004994327,0.001500758,0.0004436284],"domain_scores_gemma":[0.9979155,0.0008415985,0.000401252,0.0001604244,0.0005537273,0.0001274822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001301682,0.0008266863,0.01068539,0.000008144354,0.0003495241,0.00003098325,0.7909111,0.002719411,0.00001808015,0.06119291,0.1272121,0.00474406],"study_design_scores_gemma":[0.0001785074,0.00001729726,0.003793791,0.000006517549,0.0000216441,0.00000166264,0.4163009,0.00001061837,0.000001177798,0.002988355,0.5765107,0.0001688071],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5398263,0.00004756294,0.0004595401,0.4139657,0.01560169,0.0009311397,0.00007477695,0.0001379395,0.02895528],"genre_scores_gemma":[0.979861,0.00001516542,0.0005516121,0.01231585,0.002343619,0.00006716887,0.00006490409,0.00003436716,0.004746282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4492986,"threshold_uncertainty_score":0.9988639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373451015702466,"score_gpt":0.4088957129737967,"score_spread":0.2715506114035501,"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."}}