{"id":"W2537764901","doi":"10.1007/bf03376995","title":"Mapped Landscapes: The Politics of Metaphor, Knowledge, and Representation on Nineteenth-Century Irish Ordnance Survey Maps","year":2007,"lang":"en","type":"article","venue":"Historical Archaeology","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Metaphor; Irish; Artifact (error); Politics; Representation (politics); Negotiation; Snapshot (computer storage); History; Archaeology; Archaeological record; Geography; Sociology; Linguistics; Social science; Computer science; Artificial intelligence; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192116,0.0001502957,0.0003703124,0.00009297805,0.0006378476,0.000002344251,0.0002883346,0.00014921,0.00003796506],"category_scores_gemma":[0.001106675,0.0001002668,0.00008325617,0.0004808726,0.00183734,0.00004332374,0.0001819798,0.0002679634,0.00002239194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003738673,"about_ca_system_score_gemma":0.00005106593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008193634,"about_ca_topic_score_gemma":0.01961132,"domain_scores_codex":[0.9978147,0.0006959126,0.0003850962,0.0003330901,0.0002755721,0.0004956257],"domain_scores_gemma":[0.997424,0.001857132,0.00015713,0.0001928169,0.0002130872,0.0001558313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005361474,0.0005890511,0.3785206,0.00005501346,0.0002029103,0.00004254349,0.1950737,0.000004649758,0.0001938463,0.2676432,0.1387488,0.01838953],"study_design_scores_gemma":[0.0002614943,0.0001953856,0.1123362,0.00000623787,0.00002491584,0.000002883341,0.001159602,0.000002569813,0.00003090124,0.004893564,0.8809529,0.0001334274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935989,0.02953353,0.0008007044,0.02247629,0.003478019,0.0007446979,0.00003112988,0.0001565263,0.04918025],"genre_scores_gemma":[0.9847502,0.002723831,0.0002557734,0.0002940569,0.0003395047,0.00001583233,0.00001427925,0.000009086588,0.01159751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7422041,"threshold_uncertainty_score":0.9984109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04172607326875709,"score_gpt":0.3163034965772016,"score_spread":0.2745774233084445,"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."}}