{"id":"W4386485389","doi":"10.3390/socsci12090500","title":"Re-Making Clothing, Re-Making Worlds: On Crip Fashion Hacking","year":2023,"lang":"en","type":"article","venue":"Social Sciences","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"Clothing; Hacker; Sociology; Flexibility (engineering); Economic Justice; Aesthetics; Psychology; Computer science; Management; Political science; Art","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":[0.005849107,0.00095293,0.0003695931,0.001943379,0.01111541,0.009677004,0.001493115,0.002322216,0.007243173],"category_scores_gemma":[0.0079736,0.0004031075,0.0004926728,0.001369597,0.03579912,0.01429265,0.01657062,0.003950374,0.001042663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747461,"about_ca_system_score_gemma":0.001445429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002390009,"about_ca_topic_score_gemma":0.004240558,"domain_scores_codex":[0.9921052,0.005543091,0.0001336508,0.0005039204,0.0009119557,0.0008020796],"domain_scores_gemma":[0.9948036,0.003115156,0.000349847,0.0009071806,0.0003774035,0.0004468211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006421271,0.0000831235,0.002403432,0.0002236756,0.00001197157,0.001533318,0.7250785,0.0002882324,0.001562194,0.2062894,0.004908315,0.05755371],"study_design_scores_gemma":[0.000009128305,0.0000916353,0.001410447,0.000631517,0.00001378091,0.001904708,0.6604677,0.000564584,0.002226015,0.04153886,0.291091,0.00005056438],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5249244,0.004808018,0.07342683,0.01844723,0.0007546359,0.0001616896,0.00005814817,0.0003994594,0.3770196],"genre_scores_gemma":[0.9627182,0.002319403,0.009433203,0.001558022,0.00007260763,0.00007614622,0.00002332365,0.0002362927,0.02356275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111541,"threshold_uncertainty_score":0.03093344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1661676353894933,"score_gpt":0.357970119186769,"score_spread":0.1918024837972757,"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."}}