{"id":"W4387583997","doi":"10.3138/cart-2022-0022","title":"Digital Cartography and Feminist Geocriticism: A Case Study of the Marichjhapi Massacre","year":2023,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Scholarship; Narrative; Historiography; Gender studies; Reading (process); Sociology; Space (punctuation); History; Cartography; Geography; Art; Literature; Political science; Computer science; Archaeology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009594929,0.0001235622,0.0001357,0.0005362139,0.001712474,0.0006398993,0.0003047214,0.0000689458,0.000006163091],"category_scores_gemma":[0.0003221892,0.00008223441,0.0001549421,0.001154574,0.0004384394,0.0005541036,0.0001336112,0.0001428171,7.815602e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001049356,"about_ca_system_score_gemma":0.00005461308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005219447,"about_ca_topic_score_gemma":0.0006776496,"domain_scores_codex":[0.9984483,0.00009337494,0.0004745927,0.0001092325,0.0006517859,0.0002226798],"domain_scores_gemma":[0.998457,0.0002228064,0.0003272439,0.0001224833,0.0007797542,0.0000907284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001326562,0.0001438404,0.7043588,0.00004965192,0.0007205019,0.00004044174,0.1664711,0.00006279181,0.000004313998,0.06510221,0.002682867,0.06023084],"study_design_scores_gemma":[0.002040267,0.0002651477,0.04946062,0.00006216753,0.0001816439,0.0006448848,0.667625,0.001008367,0.000002738899,0.004166097,0.2742767,0.000266456],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932134,0.0001295244,0.0002334144,0.002767311,0.001077309,0.0007387064,0.0000806516,0.00005057609,0.00170913],"genre_scores_gemma":[0.9987558,0.0004922684,0.000005894373,0.0004561067,0.0001401809,0.00004937189,0.0000188662,0.000006751338,0.00007475155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6548982,"threshold_uncertainty_score":0.9995872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888087731369225,"score_gpt":0.3192963126524908,"score_spread":0.3004154353387985,"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."}}