{"id":"W4236581756","doi":"10.32920/ryerson.14651568","title":"Social media for social change: Developing social media strategies to influence negative cultural assumptions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Social media; Social psychology; Psychology; Media coverage; Cultural issues; Sociology; Gender studies; Political science; Media studies; Social science; Qualitative research","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":[0.004890162,0.0006842773,0.0002187187,0.001793147,0.002190941,0.004861737,0.001047875,0.0009611799,0.005347733],"category_scores_gemma":[0.008582969,0.0002244129,0.0004036039,0.0006130844,0.002928117,0.004753815,0.003870207,0.001152596,0.0009170464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009785341,"about_ca_system_score_gemma":0.00169589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009681032,"about_ca_topic_score_gemma":0.002546594,"domain_scores_codex":[0.9973329,0.001895958,0.00005403397,0.000163956,0.0003383684,0.0002148109],"domain_scores_gemma":[0.9889609,0.008570986,0.0005960767,0.0005722222,0.0004543535,0.0008454791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003922664,0.004273948,0.01656216,0.001554217,0.0001343187,0.0007046656,0.09192439,0.0009786354,0.02063034,0.03302454,0.008614197,0.8212063],"study_design_scores_gemma":[0.0009571834,0.005625553,0.04779154,0.003150859,0.0006320153,0.001216545,0.2980861,0.01769831,0.05938211,0.07825943,0.4869403,0.0002600937],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7021906,0.002512405,0.07776064,0.01930487,0.0006864677,0.002114135,0.0001599482,0.0009936865,0.1942772],"genre_scores_gemma":[0.9534245,0.001278845,0.03487623,0.0008177296,0.0001482585,0.0009558173,0.00007643873,0.00008963188,0.00833251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005347733,"threshold_uncertainty_score":0.02586192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2489825765685419,"score_gpt":0.4516757547638492,"score_spread":0.2026931781953073,"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."}}