{"id":"W6907641208","doi":"10.21954/ou.rd.26134654","title":"<i>Talk 11 - Culture in language learning for older adults – Natalia Balyasnikova - Ageing Well Public Talks Series 23/24</i>","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Language acquisition; Experiential learning; Ethnography; Lifelong learning; Context (archaeology); Curriculum; Merge (version control)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669764,0.0005433511,0.000295203,0.0006236209,0.003451419,0.002717515,0.0007310493,0.002348709,0.1131408],"category_scores_gemma":[0.003829304,0.0002172414,0.0003992403,0.0003048879,0.001173843,0.002623916,0.004307103,0.004088145,0.04110831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002229311,"about_ca_system_score_gemma":0.003151007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007424211,"about_ca_topic_score_gemma":0.02722038,"domain_scores_codex":[0.999204,0.0002307932,0.00002721016,0.0001010001,0.0002481142,0.0001889475],"domain_scores_gemma":[0.997696,0.0004201846,0.0000718331,0.00005960463,0.0005802338,0.001172136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001476052,0.00001257211,0.0001108374,0.00006242229,0.000001228281,0.00004862227,0.00062679,0.000007668921,0.0001046921,0.001939905,0.9777662,0.01930446],"study_design_scores_gemma":[0.000002900403,0.000009682748,0.000410342,0.0001804493,0.000001338291,0.0001028701,0.001118004,0.000007498927,0.00007557126,0.0005260602,0.9975609,0.000004477238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003129973,0.02826004,0.001354238,0.3151686,0.0807127,0.0002395289,0.001055145,0.0006128915,0.5694669],"genre_scores_gemma":[0.01570943,0.01296411,0.0008738925,0.03802007,0.009938788,0.0003099124,0.0005891623,0.0005721406,0.9210225],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1131408,"threshold_uncertainty_score":0.3784935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610368263781578,"score_gpt":0.2893790591016665,"score_spread":0.2732753764638507,"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."}}