{"id":"W4402151748","doi":"10.33137/ijidi.v8i2.42562","title":"Queer Spatiality","year":2024,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Queer; Closet; Sociology; Space (punctuation); Parallels; Gender studies; Physical space; Gentrification; Qualitative research; Media studies; Geography; Economic growth; Social science; Engineering; Computer science; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001977338,0.00006474219,0.00008058282,0.0002296684,0.001337301,0.0003791865,0.0009560224,0.00005920593,0.001194421],"category_scores_gemma":[0.0004050789,0.00004768368,0.0001136158,0.0002304905,0.0001005139,0.002219257,0.001313911,0.0002197705,0.0001780484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499272,"about_ca_system_score_gemma":0.0002691527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009034973,"about_ca_topic_score_gemma":0.0001647824,"domain_scores_codex":[0.9978715,0.0001019538,0.0003533009,0.0000443007,0.001524947,0.0001040149],"domain_scores_gemma":[0.9985526,0.0001623538,0.0002599777,0.00006377258,0.0008864669,0.00007479545],"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":[0.0002414882,0.00007995845,0.01657873,0.00002308081,0.0004221673,0.0000615905,0.4517094,0.001462432,0.0001137559,0.2388957,0.239283,0.05112873],"study_design_scores_gemma":[0.0003141753,0.00002649148,0.004529371,0.0001108521,0.00003594077,0.00002544425,0.008376569,0.001397552,0.000140291,0.005452929,0.9794792,0.0001111643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5607672,0.0006539559,0.08143029,0.1555335,0.01799572,0.0004561949,0.00008495657,0.000315196,0.182763],"genre_scores_gemma":[0.9960065,0.0001850845,0.0001660069,0.002327487,0.0004934947,2.602531e-7,0.00001115751,0.000002339316,0.0008076704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7401962,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905570090280155,"score_gpt":0.2883035356106046,"score_spread":0.2692478347078031,"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."}}