{"id":"W2803384179","doi":"10.22215/etd/2012-09890","title":"Data, infrastructures and geographical imaginations","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Politics; Government (linguistics); Objectivity (philosophy); Argument (complex analysis); Biopower; Political science; Social geography; Sociology; Social science; Geography; Human geography; Epistemology; Population; Law","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":[0.0006274465,0.0001501211,0.0001952712,0.0003170312,0.0009009978,0.0001812521,0.0003705099,0.0002400313,0.0005476585],"category_scores_gemma":[0.0002099917,0.0001343205,0.00003804728,0.0003315362,0.0002853606,0.0008388481,0.00007908777,0.0002032586,0.00002843557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000134119,"about_ca_system_score_gemma":0.00009040787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005751731,"about_ca_topic_score_gemma":0.05220462,"domain_scores_codex":[0.998695,0.00005821073,0.0002819378,0.0001953429,0.0004847514,0.0002848171],"domain_scores_gemma":[0.9989944,0.00009503939,0.0001771603,0.0003079707,0.000312271,0.0001131558],"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":[0.000006722928,0.00002205831,0.07478119,0.0001481843,0.0001882676,4.038205e-7,0.04827211,1.377267e-7,0.000004028902,0.8028373,0.059434,0.01430562],"study_design_scores_gemma":[0.00007609414,0.000003141939,0.4200057,0.00002046631,0.00005734928,8.147148e-7,0.04243613,0.0000024203,7.403809e-7,0.003832671,0.5333678,0.000196653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02111138,0.002221812,0.00005495103,0.0007275731,0.001898728,0.0005054063,0.0003162728,0.0001910101,0.9729729],"genre_scores_gemma":[0.9697147,0.0008094003,0.0006568875,0.0001081732,0.0005277095,0.00004661311,0.0033494,0.00001600203,0.02477114],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9486033,"threshold_uncertainty_score":0.9650902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692775560070221,"score_gpt":0.3509579651853719,"score_spread":0.3240302095846697,"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."}}