{"id":"W4387341155","doi":"10.1017/als.2023.9","title":"Neocolonial Digitality: Analyzing Digital Legal Databases Using Legal Pluralism","year":2023,"lang":"en","type":"article","venue":"Asian Journal of Law and Society","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"India Diabetes Research Foundation; York University; Styrelsen för Internationellt Utvecklingssamarbete; Social Science Research Council; ALS Association","keywords":"Legal pluralism; Pluralism (philosophy); Colonialism; Law; Islam; Sociology; Legal research; Political science; Legal realism; Epistemology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408488,0.0001326569,0.0002619887,0.000008547408,0.001173654,0.0007831899,0.0002174373,0.0001215835,0.00002436261],"category_scores_gemma":[0.00008846071,0.0001111151,0.0004273986,0.0003494593,0.0007117818,0.002515444,0.00008072057,0.0003272695,0.000004030854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000807645,"about_ca_system_score_gemma":0.0002380601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002755843,"about_ca_topic_score_gemma":0.00008549303,"domain_scores_codex":[0.9985572,0.00008121056,0.0003306636,0.0001568366,0.000496217,0.0003778934],"domain_scores_gemma":[0.9991959,0.00009233563,0.0002215152,0.00009724494,0.0001604007,0.0002325991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006536806,0.0001988709,0.006899953,0.00008399128,0.001002273,0.0006281537,0.2376627,0.0003557232,0.0003611021,0.7139578,0.02907781,0.009706285],"study_design_scores_gemma":[0.0006265699,0.00006618725,0.0005626897,0.0001300909,0.0001117466,0.00008750582,0.09092893,0.000167879,0.00002735121,0.002326542,0.9046422,0.0003222724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290404,0.0005578584,0.0003654884,0.008640018,0.0009878718,0.0001925217,0.0001310865,0.0001167478,0.05996799],"genre_scores_gemma":[0.9965109,0.0002248109,0.0005210676,0.0005047407,0.001231084,7.391315e-7,0.000008473709,0.00001225838,0.0009859459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8755644,"threshold_uncertainty_score":0.9026912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394556772860235,"score_gpt":0.3298071606594894,"score_spread":0.2903514833734659,"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."}}