{"id":"W4386010931","doi":"10.1080/00224545.2023.2249772","title":"Acculturation strategies as predictors of fandom identification in the fanfiction,<i>Star Wars</i>fan, and furry communities","year":2023,"lang":"en","type":"article","venue":"The Journal of Social Psychology","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Bishop's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Acculturation; Fandom; Identification (biology); Shalom; Sociology; Social psychology; Psychology; Media studies; Ethnic group; Anthropology; Theology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001570386,0.0003321315,0.0001556866,0.001095381,0.0007897365,0.001395009,0.0003054159,0.0004728019,0.002870058],"category_scores_gemma":[0.004949942,0.0001714798,0.0003360259,0.0004941226,0.0006200733,0.0005398961,0.0009280935,0.000671833,0.0001788732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027971,"about_ca_system_score_gemma":0.0004506215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007018159,"about_ca_topic_score_gemma":0.01563601,"domain_scores_codex":[0.9996399,0.0001406759,0.00003341458,0.00004631215,0.0000738025,0.00006605237],"domain_scores_gemma":[0.9952369,0.001469659,0.00184902,0.000145912,0.0003381851,0.0009603826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003314271,0.0001207849,0.996414,0.000006997978,0.00002088515,0.00002885671,0.001259696,0.00002654663,0.0001070462,0.00005490024,0.00002792914,0.001899288],"study_design_scores_gemma":[0.000003372698,0.00007164567,0.9963368,0.00001485657,0.00001346148,0.00005678021,0.003086997,0.0002130116,0.00005991589,0.00004113539,0.00009889735,0.000003082328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999504,0.00004238207,0.00001884404,0.00002038259,0.000002300386,0.00000351503,0.00000833598,6.527588e-7,0.0003995968],"genre_scores_gemma":[0.9996438,0.00003325626,0.00004947311,0.000006785347,0.000002419796,0.000004576481,0.00002414864,8.018309e-7,0.0002346992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007018159,"threshold_uncertainty_score":0.01395458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06726881918003924,"score_gpt":0.3916457956934671,"score_spread":0.3243769765134278,"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."}}