{"id":"W2612694072","doi":"10.1080/19406940.2017.1313298","title":"A window into India’s development story – the 2010 Commonwealth Games","year":2017,"lang":"en","type":"article","venue":"International Journal of Sport Policy and Politics","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Leverhulme Trust","keywords":"Commonwealth; State (computer science); Slum; Neoliberalism (international relations); Asian games; Political science; Work (physics); Economic growth; Sociology; Political economy; Development economics; Law; Economics; Population; Advertising; Engineering; Business; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005469061,0.0003986147,0.0002131575,0.001458946,0.00834831,0.01241191,0.0008311072,0.001753198,0.006649395],"category_scores_gemma":[0.0009839906,0.0003439841,0.0004002551,0.002197098,0.007580398,0.003057835,0.005112735,0.004525267,0.0007807967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0134689,"about_ca_system_score_gemma":0.005005159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1553907,"about_ca_topic_score_gemma":0.2856253,"domain_scores_codex":[0.9989767,0.0002673056,0.00001942606,0.00005820458,0.0001669829,0.0005114159],"domain_scores_gemma":[0.9993918,0.0001878759,0.00006238223,0.00002360125,0.00007223379,0.0002621041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002098373,0.0002193011,0.02227019,0.0004133434,0.00004751172,0.005549533,0.1728094,0.001103255,0.0014786,0.5795164,0.1838736,0.03250912],"study_design_scores_gemma":[0.00002159056,0.0001078211,0.06445024,0.0003367318,0.0000278554,0.0006299941,0.2503709,0.0002791679,0.0004397078,0.01490854,0.6683183,0.0001091868],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3367879,0.002965617,0.000449117,0.1204647,0.001179926,0.00005259828,0.001094201,0.00008330258,0.5369226],"genre_scores_gemma":[0.9516984,0.003579896,0.0001959201,0.01072821,0.0003112569,0.00004427556,0.0003485566,0.00006393459,0.03302942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1553907,"threshold_uncertainty_score":0.3089725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909589248037747,"score_gpt":0.3833780467583411,"score_spread":0.3442821542779637,"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."}}