{"id":"W4411892702","doi":"10.1002/tesq.70002","title":"“I am <scp> <i>THAT</i> </scp> Refugee!” Raising Critical Multilingual Language Awareness Through Spoken Word Poetry with Refugee‐Background Learners","year":2025,"lang":"en","type":"article","venue":"TESOL Quarterly","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Raising (metalworking); Poetry; Linguistics; Word (group theory); Psychology; Sociology; Political science; Philosophy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002841142,0.0003819895,0.0003577694,0.0004081902,0.009375324,0.005184715,0.0007036358,0.00108951,0.004440933],"category_scores_gemma":[0.004195533,0.0001918968,0.000257319,0.0002725405,0.01008262,0.003474585,0.0075017,0.004326528,0.0006895777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350896,"about_ca_system_score_gemma":0.002671755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436157,"about_ca_topic_score_gemma":0.005490998,"domain_scores_codex":[0.9984964,0.001028931,0.00003083472,0.00007372336,0.0001144776,0.0002555809],"domain_scores_gemma":[0.9982774,0.0006717631,0.0001615417,0.0001203534,0.0001844127,0.0005844656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000275948,0.0001273923,0.002962579,0.00007955389,0.000004117266,0.001250513,0.9710612,0.00004391046,0.001821696,0.008465877,0.001797572,0.012358],"study_design_scores_gemma":[0.000005661543,0.0001010882,0.00103895,0.00006675589,0.000003785981,0.0005968403,0.9666492,0.00005103325,0.0009524075,0.001588003,0.02893289,0.00001340579],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631749,0.0002593832,0.002560169,0.006484809,0.0001379089,0.00007926336,0.00001783877,0.00004143472,0.02724419],"genre_scores_gemma":[0.9904543,0.0003063207,0.001289439,0.0006248989,0.00001992412,0.00005004121,0.00001145312,0.00002501329,0.0072185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009375324,"threshold_uncertainty_score":0.01502562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06100377540518895,"score_gpt":0.4461985183994934,"score_spread":0.3851947429943045,"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."}}