{"id":"W4404421035","doi":"10.1002/sej.1519","title":"Shifts in national entrepreneurial culture: The promise of linguistic cultural artifacts and machine learning analysis","year":2024,"lang":"en","type":"article","venue":"Strategic Entrepreneurship Journal","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Newspaper; Entrepreneurship; Tone (literature); Quality (philosophy); Sociology; Marketing; Demographic economics; Public relations; Economics; Political science; Business; Linguistics; Media studies; Law; Epistemology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000923823,0.0002862178,0.0003690101,0.0004763148,0.0002868724,0.001090993,0.0003099545,0.00007794958,0.0002913726],"category_scores_gemma":[0.0006285231,0.0001786339,0.0002525465,0.001343506,0.0001875512,0.0006331171,0.0001383703,0.0007096768,0.00002249404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003966732,"about_ca_system_score_gemma":0.00007016472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002692127,"about_ca_topic_score_gemma":0.0004345901,"domain_scores_codex":[0.9977842,0.0001015065,0.0006559881,0.0004455555,0.0006184233,0.0003943513],"domain_scores_gemma":[0.9989769,0.0002161119,0.0003272584,0.0001429468,0.0002981435,0.00003862579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000214223,0.0001303379,0.9250667,0.0003301644,0.001020585,0.000260755,0.004461389,0.007811845,0.00120146,0.05681557,0.0004483203,0.002238624],"study_design_scores_gemma":[0.005573719,0.0004104695,0.3698344,0.001973598,0.006135429,0.0003743511,0.01162308,0.07372334,0.0009428095,0.4973623,0.02920055,0.002845911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827976,0.005504561,0.00001097331,0.001481014,0.0006951238,0.000194608,0.000008263396,0.00006872185,0.009239112],"genre_scores_gemma":[0.9975995,0.0006997688,0.00002264316,0.0001607503,0.001297838,0.000009571655,0.00002164906,0.00001642601,0.0001719001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5552323,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311359766616234,"score_gpt":0.2746974083861377,"score_spread":0.2315838107199754,"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."}}