{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009233322,0.0008848605,0.000413717,0.002068989,0.006670843,0.02064436,0.002403782,0.003942664,0.01569077],"category_scores_gemma":[0.03257462,0.0005260066,0.0006593689,0.0009767718,0.01664181,0.0313409,0.01522866,0.005176954,0.005051387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372928,"about_ca_system_score_gemma":0.002285492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008160131,"about_ca_topic_score_gemma":0.0009164555,"domain_scores_codex":[0.9929933,0.004502938,0.0002379791,0.0005201765,0.001085436,0.0006600979],"domain_scores_gemma":[0.977711,0.01484781,0.001361744,0.002945382,0.001563174,0.001570818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001918907,0.0001824133,0.002309517,0.0009159729,0.00004166706,0.00108607,0.1362261,0.0007667947,0.004969524,0.4696014,0.02703602,0.3566727],"study_design_scores_gemma":[0.00005728615,0.0002638052,0.0009626705,0.001432673,0.00007395759,0.001124297,0.08104621,0.001875209,0.003506661,0.285919,0.6236277,0.0001105686],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06281379,0.01223524,0.1470107,0.06329242,0.004623853,0.0005896311,0.0001813776,0.001375763,0.7078771],"genre_scores_gemma":[0.8365863,0.009693529,0.03981484,0.01339115,0.004239697,0.001218516,0.0001894723,0.0009219292,0.09394459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02064436,"threshold_uncertainty_score":0.05249089,"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."}}