{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008377577,0.0005915716,0.0004105868,0.005266245,0.01019129,0.02108113,0.001585305,0.002184462,0.003195666],"category_scores_gemma":[0.01308946,0.0004426094,0.0003968966,0.007000792,0.09793849,0.01555096,0.009859385,0.003775564,0.0004092248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03888731,"about_ca_system_score_gemma":0.02472869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4145273,"about_ca_topic_score_gemma":0.3048158,"domain_scores_codex":[0.9898131,0.005512145,0.0002621309,0.0007583017,0.002366539,0.001287677],"domain_scores_gemma":[0.9916697,0.004869953,0.0006264,0.0009599594,0.001196809,0.0006771559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009221299,0.000004780603,0.0006588641,0.00003038607,0.000003098047,0.00006038246,0.09838875,0.0001816285,0.00008199579,0.8959818,0.001338907,0.003260194],"study_design_scores_gemma":[0.0000206615,0.00001888459,0.002618181,0.0002622385,0.00001442415,0.0001755305,0.3045233,0.0007204027,0.0003830904,0.3794459,0.3117642,0.00005322086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2021955,0.008997603,0.02406758,0.07819276,0.0004743375,0.0001160944,0.0006413598,0.0001496258,0.6851652],"genre_scores_gemma":[0.9870901,0.00211117,0.00260722,0.0009256113,0.00005691825,0.00003610375,0.0001274005,0.00003819926,0.007007226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898087,"threshold_uncertainty_score":0.8242289,"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."}}