{"id":"W4206203848","doi":"10.1111/cag.12739","title":"Altering consumer practices, facing uncertainties, and seeking stability: Canadian news media framings of international retirement migrants during the COVID‐19 pandemic","year":2022,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Framing (construction); Destinations; Newspaper; Relocation; Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Demographic economics; Geography; Tourism; Economics; Law; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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"],"consensus_categories":[],"category_scores_codex":[0.001472371,0.0003144566,0.0003620299,0.002364351,0.005850259,0.0002150847,0.0007211443,0.0001001978,0.0003972687],"category_scores_gemma":[0.001328622,0.0003155006,0.0001574006,0.00233024,0.002239477,0.0003402267,0.0001400184,0.0003544258,5.290913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009289827,"about_ca_system_score_gemma":0.001604374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992554,"about_ca_topic_score_gemma":0.9999882,"domain_scores_codex":[0.9966809,0.0004139503,0.0005278669,0.0005802966,0.0006346414,0.001162332],"domain_scores_gemma":[0.9969475,0.0005379803,0.0005245615,0.0003777472,0.0002259452,0.00138631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001464561,0.000006618538,0.783778,0.00004528169,0.000190859,0.00003516188,0.2116281,0.00002171991,0.00002560455,0.001333769,0.001839535,0.001080781],"study_design_scores_gemma":[0.0003454711,0.00003239649,0.2031143,0.00003161792,0.00008728096,0.00002970721,0.1952966,0.000020352,0.000003315493,0.0008110738,0.5997688,0.0004590845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985436,0.005549598,0.000002963382,0.005751486,0.001295364,0.000558429,0.0005596852,0.0000661473,0.0007803247],"genre_scores_gemma":[0.9907141,0.007748378,0.00005322404,0.000939718,0.0001757905,0.0001400504,0.00006131874,0.0000284317,0.0001389569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5979292,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311913922177635,"score_gpt":0.257982768195303,"score_spread":0.2267913759775395,"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."}}