{"id":"W4394891103","doi":"10.1080/13669877.2024.2340027","title":"Thoughts about intersectionality and risk. Interviews with key scholars","year":2024,"lang":"en","type":"article","venue":"Journal of Risk Research","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; University of Calgary","funders":"","keywords":"Intersectionality; Key (lock); Sociology; Psychology; Computer science; Gender studies; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03275982,0.001866683,0.001803849,0.005312528,0.03878871,0.02412315,0.005801443,0.01048105,0.005450125],"category_scores_gemma":[0.04860215,0.002131153,0.001081252,0.007469947,0.05208028,0.02889531,0.02955401,0.02582372,0.001328249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01492161,"about_ca_system_score_gemma":0.008564572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008615755,"about_ca_topic_score_gemma":0.005473898,"domain_scores_codex":[0.9569909,0.03304655,0.001202692,0.002553036,0.002528217,0.003678724],"domain_scores_gemma":[0.9512773,0.03929377,0.002437762,0.001005685,0.002362593,0.003622839],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006763244,0.000008345958,0.0001400907,0.00003196122,0.00000101968,0.0002211986,0.9908346,0.00001526014,0.00005290229,0.007370335,0.0006446081,0.0006729258],"study_design_scores_gemma":[0.000002432973,0.000006562435,0.00006522363,0.0001262075,0.0000014943,0.000106764,0.9825025,0.00003078198,0.00005243271,0.002555371,0.01454215,0.000008103843],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6703794,0.02281949,0.0245015,0.1655472,0.004195022,0.001546854,0.0005851855,0.0002730705,0.1101523],"genre_scores_gemma":[0.9555818,0.006118575,0.003733383,0.01467948,0.000385162,0.001492146,0.0001862333,0.0001993502,0.01762398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9672402,"threshold_uncertainty_score":0.1732525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3237835479306355,"score_gpt":0.6096376676795981,"score_spread":0.2858541197489627,"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."}}