{"id":"W4415250350","doi":"10.1080/08959420.2025.2568447","title":"“It’s All About the Connection”: Digital and Physical Spaces for Mandarin and Punjabi-Speaking Older Immigrants in Calgary","year":2025,"lang":"en","type":"article","venue":"Journal of Aging & Social Policy","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary; University of New Brunswick","funders":"","keywords":"Immigration; Mandarin Chinese; Social isolation; Recreation; Digital divide; Ethnic group; Face (sociological concept); Digital literacy","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":[],"consensus_categories":[],"category_scores_codex":[0.0005100501,0.0001022657,0.0002363649,0.0002246976,0.0005539689,0.0002655151,0.0001911079,0.0001012926,9.543032e-7],"category_scores_gemma":[0.0005094822,0.00007931215,0.00008442345,0.0003004642,0.0004536179,0.0003430634,0.00007314793,0.0003014758,2.978197e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262943,"about_ca_system_score_gemma":0.000247379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580086,"about_ca_topic_score_gemma":0.004037051,"domain_scores_codex":[0.9990862,0.00007362568,0.0002394526,0.0001273013,0.0001822931,0.0002911376],"domain_scores_gemma":[0.9993767,0.0002449102,0.0001865435,0.00005222491,0.00009072905,0.00004886269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001380568,0.0002376929,0.08020368,0.0001033744,0.0003274269,0.00002484881,0.4541341,0.000003111012,0.0003010082,0.111827,0.009871923,0.3428277],"study_design_scores_gemma":[0.004321554,0.0001706847,0.6951416,0.0006267527,0.0001723306,0.00003664582,0.0787264,0.0001377726,0.0002608023,0.08905368,0.1308759,0.0004758413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947041,0.0002332758,0.000120687,0.1032621,0.0001541271,0.0001840121,0.000005039406,0.00002334094,0.001313276],"genre_scores_gemma":[0.9976617,0.0001250839,0.00004923825,0.001058416,0.0008343025,0.000004762954,2.682057e-7,0.000007926436,0.0002583052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.614938,"threshold_uncertainty_score":0.5412043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157456165203713,"score_gpt":0.3421012225626219,"score_spread":0.3263556060422506,"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."}}