{"id":"W4221057688","doi":"10.26522/ssj.v16i2.2664","title":"Representations of Autism in Ontario Newsroom: A Critical Content Analysis of Online Government Press Releases, Media Advisories, and Bulletins","year":2022,"lang":"en","type":"article","venue":"Studies in Social Justice","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministry of Colleges and Universities; Ministero dello Sviluppo Economico","keywords":"Autism; Government (linguistics); Social media; Content analysis; Normative; Sociology; Perception; Disability studies; Psychology; Public relations; Political science; Social science; Gender studies; Developmental psychology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003772355,0.0004397073,0.0003655647,0.01217904,0.006611684,0.006083081,0.0007251663,0.0007028272,0.002899876],"category_scores_gemma":[0.02554703,0.0003919857,0.0002178712,0.01650242,0.006175544,0.002683113,0.003071545,0.001082399,0.0003211443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02494217,"about_ca_system_score_gemma":0.01556697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5145364,"about_ca_topic_score_gemma":0.6592175,"domain_scores_codex":[0.9947529,0.001648479,0.0003796134,0.0003005495,0.002323194,0.0005952855],"domain_scores_gemma":[0.9496399,0.03019998,0.00905137,0.001096177,0.00841179,0.001600793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001080009,0.00003277612,0.02687907,0.0005805937,0.00001485734,0.001005123,0.9433661,0.00004602046,0.001576186,0.001393491,0.006859482,0.01813843],"study_design_scores_gemma":[0.00001100774,0.00003726348,0.1460407,0.0004728504,0.00003053441,0.0002334356,0.7500531,0.0001606702,0.000604743,0.000159032,0.1021481,0.00004856326],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960338,0.001276804,0.0004219523,0.003352303,0.0001188887,0.0002627618,0.003348523,0.00007164447,0.03080924],"genre_scores_gemma":[0.9791774,0.003486816,0.001044103,0.0006985979,0.0002200793,0.0004783121,0.002584454,0.0001328821,0.01217728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4854636,"threshold_uncertainty_score":0.9766452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417896761896789,"score_gpt":0.4142475755435488,"score_spread":0.2724578993538699,"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."}}