{"id":"W2784895224","doi":"10.1177/0169796x17735238","title":"“Corruption Is Us”: Tackling Corruption by Examining the Interplay Between Formal Rules and Informal Norms Within the Russian Construction Industry","year":2017,"lang":"en","type":"article","venue":"Journal of Developing Societies","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Language change; Ethos; Multitude; State (computer science); Informal sector; Political science; Political economy; Public relations; Economic system; Public administration; Business; Sociology; Economics; Economic growth; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002833137,0.0001400845,0.0002136217,0.00005929488,0.003918709,0.0009188731,0.0004511201,0.0002423128,0.00004358115],"category_scores_gemma":[0.0002288949,0.00008942631,0.00007429017,0.00005867483,0.0007188211,0.00171499,0.0001576614,0.0007012793,0.000007469542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238883,"about_ca_system_score_gemma":0.0004843802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101235,"about_ca_topic_score_gemma":0.00007120654,"domain_scores_codex":[0.9985572,0.00008033783,0.0006153784,0.000110386,0.0003571932,0.0002795532],"domain_scores_gemma":[0.9982117,0.0001376055,0.001317239,0.0001349829,0.0001152655,0.00008321556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004054925,0.000008462142,0.6986529,0.00003328842,0.0001524557,0.000001358891,0.1510759,0.00001884538,0.00003247019,0.008655603,0.001390415,0.1399377],"study_design_scores_gemma":[0.0005887952,0.00006262183,0.8502196,0.0003168065,0.00005288507,0.00006793207,0.1161271,0.0001171123,0.0001475912,0.0014075,0.03059006,0.0003019307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842207,0.00007514983,0.001826504,0.009714527,0.00138937,0.0001158425,0.00000512522,0.00001575094,0.002637061],"genre_scores_gemma":[0.9956765,0.0003607646,0.00192531,0.0006665476,0.0005331443,0.00000386055,0.000002827587,0.000008683687,0.0008223277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1515667,"threshold_uncertainty_score":0.9973781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638245953642124,"score_gpt":0.3183308823817136,"score_spread":0.2819484228452924,"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."}}