{"id":"W4408058113","doi":"10.1080/02723638.2025.2468071","title":"Hacking suburban social infrastructure: glitch subjects and queer practices of social reproduction","year":2025,"lang":"en","type":"article","venue":"Urban Geography","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Queer; Reproduction; Glitch; Hacker; Sociology; Gender studies; Biology; Computer security; Computer science; Ecology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007565438,0.0001896227,0.0002857796,0.0007965579,0.001717124,0.0002180993,0.000285007,0.000211774,0.0001869221],"category_scores_gemma":[0.0005848643,0.0002116193,0.0002468475,0.001578676,0.001140082,0.0006669108,0.0001011754,0.0003625123,0.000003141743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004273556,"about_ca_system_score_gemma":0.0001058199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004935587,"about_ca_topic_score_gemma":0.005791206,"domain_scores_codex":[0.997997,0.0002747595,0.0003770218,0.0005192112,0.0004282127,0.0004038189],"domain_scores_gemma":[0.9985488,0.0001680068,0.0006095404,0.0002135356,0.0003978426,0.00006223928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001503303,0.0001460428,0.8016946,0.0001012802,0.000440775,0.000002722475,0.04175634,0.000001898017,0.00122571,0.09438746,0.05774669,0.002346181],"study_design_scores_gemma":[0.0003130931,0.00005268897,0.8114546,0.00002763923,0.0002000534,0.000001272751,0.02118504,0.000002926901,0.0002836117,0.009530691,0.1567036,0.0002448229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572916,0.001318541,0.00001009305,0.005167937,0.000998023,0.0003550962,0.00001369487,0.000169492,0.03467549],"genre_scores_gemma":[0.9981838,0.00008738647,0.0002143972,0.0001327538,0.0006504011,0.00002297341,0.000009466284,0.00001355483,0.0006852324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09895688,"threshold_uncertainty_score":0.9995825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585019435477009,"score_gpt":0.3180502050002132,"score_spread":0.3022000106454431,"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."}}