{"id":"W2410695560","doi":"10.5539/ells.v6n2p193","title":"A Pragmatic Analysis of Humor Words in English Advertisements","year":2016,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cooperative principle; Linguistics; Newspaper; Grammar; Presupposition; Deixis; Situational ethics; Pragmatics; Vocabulary; Perspective (graphical); Rhetoric; Humor research; Psychology; Speech act; Euphemism; Target audience; Focus (optics); Politeness; Advertising; Computer science; Grice; Artificial intelligence","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":[0.001028924,0.0001434488,0.0001750754,0.002017967,0.001126511,0.001826514,0.0001614871,0.0003430388,0.002328926],"category_scores_gemma":[0.004553614,0.0001401245,0.0001835369,0.001161148,0.001724196,0.001101,0.0007220299,0.000380234,0.0002184582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405014,"about_ca_system_score_gemma":0.0009263089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685772,"about_ca_topic_score_gemma":0.003880499,"domain_scores_codex":[0.9987042,0.0008083615,0.00008454884,0.0001040088,0.0002165158,0.0000823474],"domain_scores_gemma":[0.9964991,0.0022692,0.000415481,0.00009090756,0.0006020011,0.0001232619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003819216,0.0002855828,0.06340765,0.0008703023,0.00005242695,0.002056715,0.6675828,0.0002196787,0.02914947,0.1147271,0.003844825,0.1174215],"study_design_scores_gemma":[0.0000436572,0.0002926658,0.4430365,0.0004431728,0.0001028706,0.002010992,0.4556764,0.003380833,0.006362155,0.01994749,0.0685863,0.0001169839],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596547,0.0008547804,0.004670466,0.0003998158,0.00002893224,0.00008630308,0.000107844,0.0000209523,0.03417612],"genre_scores_gemma":[0.99659,0.0001618554,0.001354139,0.00007242052,0.00001567673,0.00003386916,0.00006409522,0.000008688959,0.001699278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003685772,"threshold_uncertainty_score":0.01019412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008181424514588328,"score_gpt":0.2924959062832331,"score_spread":0.2843144817686448,"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."}}