{"id":"W4378901437","doi":"10.5539/ijel.v13n4p1","title":"Metaphorical Representations of Migrants in the Italian and British Press During a Time of Crisis","year":2023,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaphor; Representation (politics); Conceptual metaphor; Immigration; Politics; Identity (music); Expression (computer science); Sociology; Political economy; Political science; Positive economics; Linguistics; Aesthetics; Law; Economics; Art; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004625802,0.00005878539,0.0001755258,0.0002012655,0.00001790117,0.00003187428,0.0002666698,0.00004825446,0.00009303069],"category_scores_gemma":[0.01219076,0.00005241678,0.00009191071,0.0001783269,0.00005346251,0.00003696559,0.00002795299,0.0001582535,0.000002326404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001187607,"about_ca_system_score_gemma":0.00001622935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003241043,"about_ca_topic_score_gemma":0.00004073034,"domain_scores_codex":[0.9987746,0.0001191812,0.0005283112,0.00009224442,0.0003920138,0.00009364941],"domain_scores_gemma":[0.9958452,0.0003391266,0.0003145179,0.00009381809,0.003377246,0.00003008581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003127363,0.005649891,0.1659981,0.0004987172,0.007703617,0.008852959,0.4780686,0.001066484,0.002550921,0.05718815,0.2581479,0.01114723],"study_design_scores_gemma":[0.009656602,0.0005387825,0.8358624,0.0008454598,0.0009607843,0.0003733415,0.09358278,0.000309281,0.005153907,0.01669969,0.03539836,0.000618604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715651,0.0005912138,0.00003764098,0.00004808271,0.003523321,0.00008499961,0.0001895354,0.00001000251,0.02395013],"genre_scores_gemma":[0.9980705,0.0001126332,0.0001236862,0.00003183033,0.00143985,0.000003143142,0.00001446398,0.000008211468,0.0001956558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6698643,"threshold_uncertainty_score":0.99613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127633625359557,"score_gpt":0.3254787753832509,"score_spread":0.3042024391296554,"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."}}