{"id":"W2773691260","doi":"10.1111/nin.12226","title":"Social dimensions of health across the life course: Narratives of Arab immigrant women ageing in Canada","year":2017,"lang":"en","type":"article","venue":"Nursing Inquiry","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Loneliness; Life course approach; Social support; Immigration; Social connectedness; Population ageing; Gender studies; Gerontology; Qualitative research; Sociology; Transnationalism; Psychology; Population; Medicine; Political science; Social psychology; Social science; Politics","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"],"consensus_categories":[],"category_scores_codex":[0.00153402,0.00007697307,0.0003335455,0.00001693596,0.002481163,0.00003585701,0.0003412199,0.00005150405,0.00001283482],"category_scores_gemma":[0.0003175992,0.00005583741,0.00004018577,0.00009121751,0.001241925,0.0001170411,0.00002847484,0.0001572139,3.219834e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005814421,"about_ca_system_score_gemma":0.005063676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9425999,"about_ca_topic_score_gemma":0.9458851,"domain_scores_codex":[0.9981926,0.000324321,0.0003872256,0.0001215454,0.0003711839,0.0006031021],"domain_scores_gemma":[0.9990195,0.0001546923,0.0004348329,0.0002057364,0.00006108667,0.0001241556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001882762,0.0000543246,0.04668237,0.00006800418,0.00001362199,0.000002461524,0.9324787,0.0000123661,0.000005561838,0.00410748,0.004115303,0.01244103],"study_design_scores_gemma":[0.0001505356,0.00001126681,0.5201719,0.0001932611,0.000001684771,9.371203e-8,0.4769952,0.000006295646,0.00000403631,0.0004828571,0.00193691,0.00004593368],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328265,0.0007832685,0.000006586662,0.06456983,0.001085741,0.0001674934,0.0000134067,0.000005596111,0.0005415279],"genre_scores_gemma":[0.9986449,0.00007515026,0.00001904734,0.0009898503,0.0001810289,0.00000730015,8.000576e-7,0.000006357183,0.00007558613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4734896,"threshold_uncertainty_score":0.9988174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07430431525342464,"score_gpt":0.4222670044584344,"score_spread":0.3479626892050098,"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."}}