{"id":"W4407301326","doi":"10.1080/10413200.2025.2463599","title":"Cultivating legacies and connections: A narrative analysis of Instagram stories of retired elite athlete mothers through an ethic of care lens","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Sport Psychology","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of British Columbia; Laurentian University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Elite; Narrative; Psychology; Lens (geology); Through-the-lens metering; Social psychology; Art; Literature; Law; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001062595,0.0001196323,0.0007764375,0.0002701519,0.0002208195,0.000009860592,0.0001841767,0.0002512814,0.0000448553],"category_scores_gemma":[0.00008017389,0.0001090404,0.0002443291,0.001195141,0.001073854,0.0001999001,0.00001723102,0.0002809619,3.167347e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006394165,"about_ca_system_score_gemma":0.0002855309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007408582,"about_ca_topic_score_gemma":0.001354558,"domain_scores_codex":[0.9984038,0.00007689114,0.0008287906,0.0001977548,0.0003209632,0.0001717931],"domain_scores_gemma":[0.9977904,0.000103519,0.00123598,0.0001893655,0.0006357466,0.00004497433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000291206,0.0001151116,0.04251233,0.00005479307,0.001109329,0.000002484417,0.8913335,0.000161401,0.003739654,0.05932502,0.0001307546,0.001224403],"study_design_scores_gemma":[0.0005900307,0.0001964807,0.04207752,0.00005756739,0.0004443144,0.000001237738,0.9456301,0.000003963748,0.000507846,0.001393037,0.00900195,0.00009595483],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752934,0.0007443175,0.000286611,0.000386323,0.0002411703,0.0001461488,0.00001141374,0.000008851764,0.02288174],"genre_scores_gemma":[0.9959981,0.001838787,0.001740435,0.0002552573,0.00005358622,0.000003354818,0.000004701858,0.000006587263,0.00009920482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05793198,"threshold_uncertainty_score":0.4446538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296424700982225,"score_gpt":0.3886947619786409,"score_spread":0.3457305149688187,"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."}}