{"id":"W7071871240","doi":"","title":"Tiny Words, Big Meanings: An Analysis of Diminutives in Australian and Global Englishes","year":2025,"lang":"en","type":"article","venue":"DiVA (Linnaeus University)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Word lists by frequency; World Englishes; English language; Australian English; Irish; Diminutive","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001385831,0.00009371145,0.0002064907,0.0007596177,0.00006963583,0.00002471496,0.000228411,0.00006296064,0.0001033538],"category_scores_gemma":[0.00003573331,0.00009536802,0.00005639621,0.001995673,0.0001606938,0.0002111296,0.00002915232,0.000080387,0.000001419244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472497,"about_ca_system_score_gemma":0.00003873151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394158,"about_ca_topic_score_gemma":0.002261635,"domain_scores_codex":[0.9993123,0.00007654458,0.000116597,0.0002355504,0.000097729,0.0001612931],"domain_scores_gemma":[0.9996561,0.00005146137,0.00005501725,0.0001442778,0.00003996785,0.00005314166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000412165,0.00002152565,0.9610491,0.000009744489,0.00009249592,0.00001868798,0.0005033305,0.0001949696,0.000007452738,0.001276227,0.0003073483,0.03647786],"study_design_scores_gemma":[0.0004045453,0.00009447733,0.9488809,0.00005678043,0.0003219762,6.106116e-7,0.008923686,0.0119377,0.0004815303,0.0009473431,0.02774687,0.0002035442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739043,0.00007578458,0.0001970646,0.0002549092,0.00008518212,0.00005428762,0.0000774139,0.0000570714,0.02529406],"genre_scores_gemma":[0.9981295,0.00007809489,0.0004312504,0.0001403152,0.000007859752,2.603151e-8,0.00005012304,7.596668e-7,0.001162073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03627432,"threshold_uncertainty_score":0.9926246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283231157186412,"score_gpt":0.215772228682722,"score_spread":0.2029399171108579,"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."}}