{"id":"W7145531390","doi":"","title":"Navigating success : Lululemon's transnational strategies in the dynamic landscape of Chinese athleisure markets","year":2023,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Field (mathematics); Context (archaeology); Globalization; Perspective (graphical)","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":[0.001332735,0.0003597955,0.0001992253,0.0008650706,0.007303555,0.005249403,0.0007708704,0.0008861923,0.003624466],"category_scores_gemma":[0.00117331,0.0001553311,0.000211944,0.0009805855,0.005037101,0.003634003,0.003933419,0.001053025,0.0002434254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005007,"about_ca_system_score_gemma":0.005779244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06104395,"about_ca_topic_score_gemma":0.132175,"domain_scores_codex":[0.9991887,0.0002472702,0.00001594452,0.0000904277,0.0001166214,0.0003410526],"domain_scores_gemma":[0.9994577,0.0001132977,0.00009502191,0.00002711145,0.00006948598,0.0002374317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000593227,0.000119512,0.06378929,0.0001127087,0.00001865759,0.002092669,0.8467881,0.0001907336,0.002391341,0.04563889,0.00333772,0.0354611],"study_design_scores_gemma":[0.000008593932,0.00009770503,0.05342888,0.0001044625,0.00002438043,0.000222534,0.9031743,0.0008826792,0.000516743,0.003005911,0.03849035,0.00004342077],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654756,0.0001460893,0.0003698417,0.00126462,0.00001352002,0.00002670706,0.000008388735,0.000008576209,0.03268676],"genre_scores_gemma":[0.9962493,0.00008473978,0.0001999847,0.0001524936,0.000002442516,0.00001059824,0.000007161271,0.000003681732,0.003289582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06104395,"threshold_uncertainty_score":0.1213773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460593337155825,"score_gpt":0.3346122782762058,"score_spread":0.3200063449046476,"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."}}