{"id":"W4384342828","doi":"10.1177/12063312231181520","title":"Spaced Apart: Autoethnographies of Access Throughout the COVID 19 Pandemic","year":2023,"lang":"en","type":"article","venue":"Space and Culture","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scholarship; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sociology; Political science; Law; Virology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003547434,0.00005762683,0.00008954426,0.00002384471,0.0005498983,0.00009028245,0.000162143,0.00007957098,0.00007077823],"category_scores_gemma":[0.00009143383,0.00002860357,0.00005160219,0.0004421799,0.0009684569,0.0001778463,0.00004495452,0.00007285349,0.00001168938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157028,"about_ca_system_score_gemma":0.00005583812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00385073,"about_ca_topic_score_gemma":0.0127675,"domain_scores_codex":[0.9993368,0.0001056165,0.0000743272,0.0001295144,0.0002135257,0.0001402631],"domain_scores_gemma":[0.9996686,0.00007173397,0.00005060607,0.0001131977,0.00002788592,0.0000679648],"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":[0.00002411159,0.00003071307,0.232089,0.00006824096,0.00005618543,0.000001792429,0.3789115,0.0001022374,0.0005346872,0.2102914,0.1764977,0.001392537],"study_design_scores_gemma":[0.0002174965,0.00002126182,0.01288935,0.000009224047,0.00003063486,9.730229e-7,0.1057962,0.00001748828,0.00009922301,0.07325805,0.8075519,0.0001081776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.739901,0.001227765,0.00008014932,0.1750395,0.0006581565,0.000889013,0.00004723063,0.0004590167,0.08169816],"genre_scores_gemma":[0.978435,0.002417257,0.00001237483,0.00027792,0.0001481684,0.00001311004,0.00001158616,0.000003852942,0.01868073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6310543,"threshold_uncertainty_score":0.7124565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267238241330143,"score_gpt":0.4463470195346484,"score_spread":0.3196231954016341,"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."}}