{"id":"W2563861010","doi":"10.13140/rg.2.2.19754.88004","title":"Inclusion without Potential: Disability and the Biopolitics of Neuro-logical Human Capital Investments","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biopower; Inclusion (mineral); Financial inclusion; Human capital; Capital (architecture); Business; Economics; Sociology; Political science; Gender studies; History; Economic growth; Finance; 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":[0.0001574363,0.000163498,0.0004148836,0.00001722298,0.0007538039,0.000004815765,0.0003650018,0.0001696811,0.0002800332],"category_scores_gemma":[0.0002061587,0.0001365341,0.0001045054,0.00004057061,0.001925373,0.000126815,0.0005837544,0.0001993458,0.000001967956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325046,"about_ca_system_score_gemma":0.00003302022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03162516,"about_ca_topic_score_gemma":0.01864771,"domain_scores_codex":[0.9987567,0.0002727249,0.0001248789,0.0003463387,0.0003368072,0.0001625623],"domain_scores_gemma":[0.9991779,0.0001365855,0.0002844913,0.000237182,0.00007629411,0.00008750011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0175657,0.00440511,0.02458472,0.001988583,0.0004714547,0.0003051986,0.3865867,0.00002435685,0.2087172,0.3367525,0.004735918,0.01386257],"study_design_scores_gemma":[0.006644928,0.001534278,0.9381528,0.0000769609,0.0008570452,0.00001474491,0.01888703,0.0001300233,0.002472598,0.02824411,0.002222505,0.0007630044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773642,0.0004615486,0.000002549482,0.0005252672,0.0002995185,0.0002590735,0.00002267343,0.00002312212,0.02104205],"genre_scores_gemma":[0.9972183,0.0002815329,0.00002300757,0.00006683562,0.00002276067,3.647165e-7,0.00001229245,0.000007962536,0.002367009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9135681,"threshold_uncertainty_score":0.9992594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583995810519257,"score_gpt":0.2786222981920491,"score_spread":0.2527823400868566,"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."}}