{"id":"W2087215645","doi":"10.1287/orsc.1090.0514","title":"Collective Learning in Global Diffusion: Spreading Quality Standards in a Developing Country Cluster","year":2010,"lang":"en","type":"article","venue":"Organization Science","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Context (archaeology); Indigenous; Business; Quality (philosophy); Developing country; Production (economics); Process (computing); Industrial organization; Organizational learning; Work (physics); Cluster (spacecraft); Diffusion; Marketing; Knowledge management; Economic geography; Economic system; Economics; Economic growth; Management; Microeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.002431532,0.0001194295,0.0001640373,0.0002141764,0.0005173257,0.0006375528,0.0002944531,0.00008007032,0.00006086718],"category_scores_gemma":[0.008018945,0.0001194492,0.00001371958,0.00788224,0.0002464032,0.001811167,0.0002170687,0.0002122629,0.000009715845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583567,"about_ca_system_score_gemma":0.001469177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820982,"about_ca_topic_score_gemma":0.003909798,"domain_scores_codex":[0.9983209,0.00003021191,0.0002860906,0.0003425519,0.0006432473,0.0003769418],"domain_scores_gemma":[0.9987405,0.00004293364,0.000135929,0.0001190173,0.0009396111,0.00002202974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009533457,0.00003361157,0.9758463,0.00002943034,7.608102e-7,0.000002388018,0.001653148,0.0001369842,0.0004528314,0.02149266,0.00002656288,0.0003158262],"study_design_scores_gemma":[0.0004735608,0.000003590196,0.9877665,0.00002995159,0.00000302713,9.841002e-7,0.005456165,0.0009584252,0.00005474534,0.003789675,0.0012715,0.0001918837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864506,0.000003663788,0.001665786,0.0008386383,0.0004019758,0.0002228226,0.000002997444,0.00007539265,0.01033812],"genre_scores_gemma":[0.9988409,0.000001726179,0.0001404298,0.000799746,0.0001446245,0.000001947743,0.000005705735,0.00000837445,0.00005658274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01770299,"threshold_uncertainty_score":0.9600006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386132247949621,"score_gpt":0.3043084664250748,"score_spread":0.2904471439455786,"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."}}