{"id":"W4399603992","doi":"10.18061/dsq.v43i3.7860","title":"Crip Encounters in the Corporate Hashtag: Complicating #BellLetsTalk","year":2024,"lang":"en","type":"article","venue":"Disability Studies Quarterly","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business","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":[0.00613094,0.0004009605,0.0002519808,0.001369506,0.01279125,0.007068908,0.0008834995,0.001879059,0.006125184],"category_scores_gemma":[0.01617967,0.0003267247,0.0001641953,0.001084358,0.01095979,0.008627653,0.007016997,0.002537744,0.0008426319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004065695,"about_ca_system_score_gemma":0.002235009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277783,"about_ca_topic_score_gemma":0.035837,"domain_scores_codex":[0.9934592,0.004626001,0.0001178908,0.0003342274,0.0007042002,0.0007586655],"domain_scores_gemma":[0.9889381,0.008479956,0.0008718724,0.0005508622,0.0005806064,0.0005785621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005546979,0.0000195542,0.002951771,0.00008434845,0.0000026368,0.0006501402,0.9677454,0.00002845516,0.0008301989,0.01377626,0.004649188,0.009206552],"study_design_scores_gemma":[0.000003996027,0.00002712149,0.00195996,0.0001380146,0.000004319722,0.0001710519,0.9369063,0.0001195735,0.00059011,0.001790031,0.05827749,0.00001193296],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026951,0.0005075372,0.004553156,0.02129499,0.0003874156,0.0001571233,0.0002215082,0.0000894023,0.07009383],"genre_scores_gemma":[0.9862108,0.0002734773,0.000854828,0.002538182,0.0001026663,0.0001267157,0.00005730608,0.00009407302,0.009741992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01279125,"threshold_uncertainty_score":0.03242385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09032646233249685,"score_gpt":0.3403847091589818,"score_spread":0.250058246826485,"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."}}