{"id":"W7029103028","doi":"","title":"Inaudible, (Un)heard: Repurposing Media Technologies to Speak Across and Beyond Time and Distance","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Repurposing; The Internet; Action (physics); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009300089,0.0006209815,0.0008537523,0.0005904376,0.002543191,0.0008408835,0.000525214,0.000388651,0.00025407],"category_scores_gemma":[0.003666031,0.0005797978,0.0001801485,0.0004498738,0.000363684,0.0004246836,0.0003961279,0.001071092,0.0003987955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745216,"about_ca_system_score_gemma":0.00002977708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006044806,"about_ca_topic_score_gemma":0.0116859,"domain_scores_codex":[0.9962972,0.0001239793,0.0006800624,0.00116802,0.0008015516,0.0009292319],"domain_scores_gemma":[0.9977686,0.0004641186,0.0002986892,0.000632202,0.0005129631,0.0003233572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003418801,0.0001366179,0.00005701837,0.0009343078,0.000763425,0.0004908841,0.003248751,0.000002113606,0.004140971,0.3059967,0.0002911479,0.6835961],"study_design_scores_gemma":[0.001195178,0.0004261276,0.001033572,0.001627745,0.0005315787,0.00002460368,0.03125034,0.00008454012,0.01139297,0.2963085,0.6534035,0.002721318],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215927,0.001811302,1.116479e-7,0.0002219997,0.000812199,0.0006047565,0.003478145,0.0007960144,0.07068285],"genre_scores_gemma":[0.9281465,0.002163844,0.0004905721,0.0001967139,0.0002662386,0.0001554077,0.001254388,0.000250261,0.06707603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6808748,"threshold_uncertainty_score":0.9996653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081578853235342,"score_gpt":0.2641378237773101,"score_spread":0.2433220352449567,"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."}}