{"id":"W4307244485","doi":"10.5430/wjel.v12n8p326","title":"Mobilization Strategies: Evidence from King Abdullah II’s Speeches during COVID-19 Pandemic in Jordan","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobilization; Directive; Coronavirus disease 2019 (COVID-19); Government (linguistics); Order (exchange); Political science; Qualitative analysis; Speech act; Linguistics; Psychology; Sociology; Computer science; Law; Business; Qualitative research; Medicine; Philosophy; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007242573,0.0004865658,0.0004757903,0.002087308,0.004699177,0.003679414,0.0009974141,0.001516239,0.002485275],"category_scores_gemma":[0.01779744,0.0005369612,0.000260311,0.002149959,0.004599497,0.002653936,0.003940068,0.002160402,0.0008048298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002432913,"about_ca_system_score_gemma":0.002950803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385808,"about_ca_topic_score_gemma":0.03217676,"domain_scores_codex":[0.994638,0.003380052,0.0003057227,0.0002724979,0.0007616511,0.0006421102],"domain_scores_gemma":[0.9843937,0.009113251,0.003062493,0.0004486506,0.002169811,0.0008122377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005511416,0.00004890893,0.01880347,0.0001774535,0.00001021753,0.0009334954,0.9739309,0.00001781685,0.0004647943,0.0004380793,0.0005077444,0.00461203],"study_design_scores_gemma":[0.00000313958,0.0000324983,0.01998002,0.0001422175,0.000004094014,0.0002352773,0.9740846,0.00002169579,0.0001874452,0.00005361863,0.005244693,0.00001059943],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951066,0.0008027751,0.0001254693,0.000863785,0.00002839081,0.00002736613,0.00007328419,0.000001870733,0.002970669],"genre_scores_gemma":[0.9951693,0.001713988,0.0002572183,0.000697518,0.00004578247,0.00007472532,0.0001200337,0.00001275285,0.001908529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385808,"threshold_uncertainty_score":0.03830284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200879540009782,"score_gpt":0.3239158272539879,"score_spread":0.28190703185389,"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."}}