{"id":"W4200009492","doi":"10.1111/cag.12737","title":"On older person/place transformations: Towards a more‐than‐representational geography of aging in rural Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Northern British Columbia","funders":"","keywords":"Scholarship; Population ageing; Redistribution (election); Population; Restructuring; Economic geography; Rural area; Sociology; Demographic change; Geography; Economic growth; Political science; Demography; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002798983,0.0003792826,0.0003749494,0.00184799,0.02503446,0.008468526,0.001722973,0.0009292862,0.004461576],"category_scores_gemma":[0.004136377,0.0001935399,0.000274663,0.003990707,0.0198004,0.003657986,0.007469844,0.002442394,0.0001569135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1154845,"about_ca_system_score_gemma":0.1625718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995619,"about_ca_topic_score_gemma":0.9978893,"domain_scores_codex":[0.9981211,0.0004711385,0.00003844515,0.0001786173,0.0003978986,0.0007928266],"domain_scores_gemma":[0.9968749,0.0005601408,0.000280954,0.0001598452,0.001156808,0.0009673617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005391931,0.00004367898,0.04439304,0.0002023487,0.00001831523,0.0006269739,0.6347967,0.000922324,0.0006297332,0.2520953,0.01549482,0.05072285],"study_design_scores_gemma":[0.000006785759,0.00003373636,0.0803689,0.0003396118,0.00002774162,0.0002004068,0.7548152,0.0008641235,0.0003809887,0.0245373,0.1383271,0.00009814561],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7403401,0.008641561,0.005934718,0.09593215,0.0003586146,0.000123236,0.0007366177,0.00008033824,0.1478527],"genre_scores_gemma":[0.9883007,0.002945455,0.0009711363,0.001370031,0.00003320855,0.0000169819,0.00007448879,0.00002342477,0.00626468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154845,"threshold_uncertainty_score":0.8379025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006698702198753831,"score_gpt":0.1872082203673089,"score_spread":0.180509518168555,"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."}}