{"id":"W1983028646","doi":"10.1017/s1049096510990677","title":"Undergraduate Research-Methods Training in Political Science: A Comparative Perspective","year":2010,"lang":"en","type":"article","venue":"PS Political Science & Politics","topic":"Innovative Teaching Methodologies in Social Sciences","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Politics; Liberal arts education; Curriculum; State (computer science); Political science; Norm (philosophy); Higher education; Training (meteorology); Mathematics education; Sociology; Pedagogy; Psychology; Law; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03077134,0.0001408449,0.0004474875,0.00697757,0.003018107,0.006022765,0.0005952209,0.001259606,0.006805868],"category_scores_gemma":[0.05882675,0.0002003651,0.000165748,0.0112174,0.004159549,0.003098938,0.003065775,0.001105677,0.0002718079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005127362,"about_ca_system_score_gemma":0.005284538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753796,"about_ca_topic_score_gemma":0.007698022,"domain_scores_codex":[0.964087,0.02810148,0.001008987,0.0007215486,0.00440648,0.001674554],"domain_scores_gemma":[0.8794954,0.09506348,0.004978127,0.003139002,0.01256688,0.004757037],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003070224,0.001163936,0.1409723,0.002724951,0.00007940493,0.000372456,0.09116501,0.001257513,0.001663715,0.4098122,0.01150521,0.3389762],"study_design_scores_gemma":[0.0001348874,0.001796664,0.4685948,0.004735169,0.00008724622,0.00122335,0.1977541,0.002375639,0.002311839,0.04902671,0.2718873,0.00007228766],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707166,0.02949895,0.009741052,0.02033925,0.0003369209,0.0001527053,0.0003142355,0.0000602315,0.26884],"genre_scores_gemma":[0.9939441,0.00269298,0.001419037,0.0005199364,0.00008698036,0.00006902323,0.00007326898,0.000005939003,0.001188644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9692287,"threshold_uncertainty_score":0.1627364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4593989836391525,"score_gpt":0.6441923012390856,"score_spread":0.1847933175999331,"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."}}