{"id":"W4404883136","doi":"10.1177/02662426241303174","title":"Book review: <i>The Garment Economy: Understanding History Developing Business Models and Leveraging Digital Technologies</i> Michelle Brandstrup, Leo-Paul Dana, Daniella Ryding, Gianpaolo Vignali, and Myriam Caratu (eds) BrandstrupMichelleDanaLeo-PaulRydingDaniellaVignaliGianpaoloCaratuMyriam (eds), The Garment Economy: Understanding History Developing Business Models and Leveraging Digital Technologies, Cham, Switzerland: Springer, 2023, 630 pp., ISBN: 978-3-031-33301-9 (hardcover), ISBN: 978-3-031-33302-6 (ebook), USD 129.99 (hardcover), USD 99.00 (ebook).","year":2024,"lang":"en","type":"article","venue":"International Small Business Journal Researching Entrepreneurship","topic":"Global and Cross-Cultural Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003003462,0.001239888,0.001161206,0.00088627,0.002466513,0.006197425,0.002224762,0.0004527707,0.00009956851],"category_scores_gemma":[0.0007823512,0.0009916176,0.0003378015,0.0009819181,0.001660267,0.004285844,0.002217504,0.00191672,0.00001660003],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009211559,"about_ca_system_score_gemma":0.002033003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008186668,"about_ca_topic_score_gemma":0.000254754,"domain_scores_codex":[0.9925672,0.0003787889,0.001634969,0.001989097,0.001586425,0.001843535],"domain_scores_gemma":[0.9960561,0.001003183,0.0009341168,0.000718333,0.0009140007,0.0003742707],"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":[0.002203523,0.0006226735,0.009209469,0.01024688,0.007432762,0.003726603,0.02270859,0.0202603,0.001714429,0.1617858,0.7078325,0.05225644],"study_design_scores_gemma":[0.002121842,0.00007032222,0.0001769683,0.008817211,0.0003275299,0.0009081513,0.009889238,0.006870023,0.000121833,0.07078988,0.8979276,0.001979449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02933855,0.7652285,0.06972684,0.1009601,0.004604501,0.003481962,0.000171065,0.001234781,0.02525375],"genre_scores_gemma":[0.6356082,0.353621,0.000313298,0.002776864,0.000763852,0.000149974,0.0001273871,0.0002002979,0.006439123],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6062697,"threshold_uncertainty_score":0.9992535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07348733704033329,"score_gpt":0.2797752655915252,"score_spread":0.2062879285511919,"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."}}