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\\n 
\\n","year":2014,"lang":"en","type":"dissertation","venue":"Unitn-eprints PhD (University of Trento)","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Institut für Arbeitsmarkt- und Berufsforschung","keywords":"Class (philosophy); Productivity; Matching (statistics); Wage; Human capital; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002463491,0.0001692138,0.0002782689,0.0004775807,0.0006354429,0.00001945061,0.0004145288,0.0003420593,0.0005738981],"category_scores_gemma":[0.00007267476,0.0001584045,0.00004691399,0.0004019456,0.0003493318,0.00009841126,0.0000642966,0.0003127525,0.00003384264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814768,"about_ca_system_score_gemma":0.0001194596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005345277,"about_ca_topic_score_gemma":0.01688636,"domain_scores_codex":[0.9991149,0.00006691155,0.0001721832,0.0002523263,0.0002136338,0.0001800731],"domain_scores_gemma":[0.9990395,0.0001066254,0.0004242804,0.0002191604,0.0001731434,0.00003724189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000380139,0.0004823977,0.03551795,0.0009243154,0.0006196568,0.000009154303,0.06689049,0.000030014,0.003509022,0.6709308,0.02724133,0.1934648],"study_design_scores_gemma":[0.003845257,0.002079577,0.6297254,0.003125912,0.0004178626,0.000001320612,0.2434142,0.00007783529,0.02138806,0.01670993,0.07749594,0.001718688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517362,0.00001423189,6.605588e-7,0.0008791044,0.0002803188,0.0002947701,0.00000655513,0.00002735535,0.04676082],"genre_scores_gemma":[0.9612709,0.0001857776,0.00000518409,0.00001496798,0.00003310572,0.000001690522,0.0001460884,0.000008098348,0.03833418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6542208,"threshold_uncertainty_score":0.9422988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204895905229446,"score_gpt":0.2384780469383119,"score_spread":0.2179884564153673,"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."}}