{"id":"W4392885769","doi":"","title":"Linguistic activism: Why intersectionality matters","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Intersectionality; Linguistics; Sociology; Political science; Gender studies; 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"],"consensus_categories":[],"category_scores_codex":[0.008412593,0.00030473,0.0003668218,0.0001994833,0.001027417,0.0004510472,0.001532641,0.0003115869,0.0003814024],"category_scores_gemma":[0.007513444,0.0003558607,0.0002602844,0.0004619762,0.0007474273,0.00008363751,0.002143806,0.0008347771,0.0001952291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482691,"about_ca_system_score_gemma":0.0004218031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02784487,"about_ca_topic_score_gemma":0.04067327,"domain_scores_codex":[0.9904335,0.007007602,0.0004455071,0.0008530074,0.0007497901,0.0005106027],"domain_scores_gemma":[0.9935315,0.002480546,0.0004297009,0.001578627,0.001780363,0.0001993163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002107288,0.000693788,0.005996935,0.0004608278,0.0005568985,0.00004132924,0.6769528,0.000072294,0.0002209724,0.2175669,0.07289621,0.02451997],"study_design_scores_gemma":[0.0008350691,6.701922e-7,0.01400619,0.003695134,0.0002393734,0.000007246706,0.02053205,0.001474648,0.002943879,0.1171973,0.837123,0.00194546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02842761,0.0008603319,0.2151911,0.1793605,0.006574103,0.001368604,0.0002194708,0.002132694,0.5658656],"genre_scores_gemma":[0.9541996,0.0004896508,0.01324594,0.0009274385,0.0002433514,0.0001599159,0.000245676,0.00008494328,0.03040345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.925772,"threshold_uncertainty_score":0.9998893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994037582676481,"score_gpt":0.3029455922915909,"score_spread":0.2630052164648261,"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."}}