{"id":"W2746522802","doi":"10.1080/87567555.2017.1348332","title":"Social Science Boot Camp: Development and Assessment of a Foundational Course on Academic Literacy in the Social Sciences","year":2017,"lang":"en","type":"article","venue":"College Teaching","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Wilfrid Laurier University","funders":"","keywords":"Curriculum; Scientific literacy; Mathematics education; Literacy; Social science education; Social studies; Learning sciences; Institution; Pedagogy; Science education; Sociology; Psychology; Social science; Educational technology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02541037,0.0001020839,0.0001476608,0.0001770608,0.01693551,0.0006369833,0.001058924,0.00007043219,0.0000191633],"category_scores_gemma":[0.002770675,0.00008299701,0.00002854135,0.0001986042,0.002230898,0.001698193,0.0001735788,0.0007131306,0.000003135523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844243,"about_ca_system_score_gemma":0.002440989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835988,"about_ca_topic_score_gemma":0.0002812592,"domain_scores_codex":[0.9965126,0.0008844673,0.0003033355,0.0003040314,0.001689663,0.0003058965],"domain_scores_gemma":[0.9983014,0.0008746821,0.0005545846,0.0001311229,0.0001006656,0.00003746989],"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":[0.000008351809,0.0001085574,0.04238171,0.000007066149,0.000006558281,0.000001985607,0.160664,0.000003414411,0.00006268641,0.7664474,0.0003715664,0.02993667],"study_design_scores_gemma":[0.0004724567,0.00004774705,0.9071573,0.00007935843,0.00001654563,0.000001508127,0.03522826,0.0005218555,0.00001417544,0.004144776,0.05212882,0.0001872064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8730004,0.00002312874,0.00004467934,0.02842829,0.0001820892,0.0002814033,0.000003639757,0.00001658268,0.09801971],"genre_scores_gemma":[0.995643,0.000005029823,0.003453558,0.0003680861,0.0002663505,0.00002428757,0.000001055911,0.000004446977,0.0002341485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647756,"threshold_uncertainty_score":0.9843443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2406274339415198,"score_gpt":0.5753818182818615,"score_spread":0.3347543843403418,"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."}}