{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00367805,0.00006271025,0.000151056,0.00006858425,0.0006600201,0.00005452711,0.0003290236,0.0001156564,0.00003134058],"category_scores_gemma":[0.00006610037,0.00003970325,0.00007142293,0.0003853872,0.0007810076,0.0002776726,0.00001536851,0.000271104,0.000002426599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003056262,"about_ca_system_score_gemma":0.0001155813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023838,"about_ca_topic_score_gemma":0.001604441,"domain_scores_codex":[0.9982324,0.0008653397,0.0003876775,0.00004850353,0.0003236035,0.0001424547],"domain_scores_gemma":[0.9990373,0.0002766469,0.0004047475,0.00009318439,0.0001681966,0.00001998163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007206116,0.00004592929,0.004044353,0.000005598808,0.00004351607,0.000001227007,0.9733639,0.00001204776,0.0009806938,0.0110235,0.01002402,0.00038311],"study_design_scores_gemma":[0.0002798476,0.00004334677,0.2801088,0.000004807658,0.00002593435,0.000007862443,0.7073368,0.000001501169,0.00001117804,0.008785915,0.003362739,0.0000312367],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877414,0.0001856202,0.00004026272,0.00605306,0.0006240918,0.0001337269,0.000003562606,0.0000129212,0.005205386],"genre_scores_gemma":[0.9958625,0.003228731,0.000004089923,0.000277938,0.0004162222,0.000002967662,0.000004710502,0.000004240384,0.0001986126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2760645,"threshold_uncertainty_score":0.5076408,"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."}}