{"id":"W2003312133","doi":"10.1111/j.1944-8287.2002.tb00195.x","title":"The Competitive Foundations of Localized Learning and Innovation: The Case of Women's Garment Production in New York City*","year":2002,"lang":"en","type":"article","venue":"Economic Geography","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Intermediary; Relevance (law); Production (economics); Economies of agglomeration; Industrial district; Competition (biology); Business; Process (computing); Clothing; Industrial organization; Marketing; Economics; Economic growth; Economy; Political science; Computer science","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":[0.0008535351,0.0001701644,0.0002295537,0.0008211046,0.01397175,0.00562884,0.0009980433,0.001383115,0.01204336],"category_scores_gemma":[0.001508414,0.0002661161,0.000186701,0.001218087,0.01162258,0.001770708,0.004022748,0.001283795,0.0003499213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0141006,"about_ca_system_score_gemma":0.008591739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2265853,"about_ca_topic_score_gemma":0.5209543,"domain_scores_codex":[0.9991929,0.0003322641,0.00001023977,0.00007382242,0.00007108362,0.0003196984],"domain_scores_gemma":[0.9988028,0.000624569,0.0001270865,0.00005228824,0.00009638305,0.0002969518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002500703,0.0003884535,0.05829418,0.0003506159,0.00003698158,0.02046954,0.5147696,0.005616511,0.002634258,0.3451055,0.00890874,0.04317562],"study_design_scores_gemma":[0.0000950805,0.000221441,0.03798869,0.0002993077,0.00004282465,0.001378453,0.7527603,0.004532628,0.001053577,0.0241995,0.1773671,0.00006106965],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150833,0.0003135695,0.001088094,0.003901675,0.00001694122,0.00004458028,0.00003040079,0.00001302265,0.07950851],"genre_scores_gemma":[0.9936725,0.0001008053,0.0002016889,0.00006534036,0.000005046231,0.00001884306,0.000007623295,0.000002862485,0.005925286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2265853,"threshold_uncertainty_score":0.4505329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102961098982542,"score_gpt":0.2672856359561727,"score_spread":0.2262560249663472,"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."}}