{"id":"W2105156391","doi":"10.29173/lirg246","title":"\"Trying to figure it out\": Academic librarians talk about learning to teach","year":2010,"lang":"en","type":"article","venue":"Library and Information Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Information literacy; Mainstream; Narrative; Sociology; Pedagogy; Library science; Qualitative research; Identity (music); Library instruction; Mathematics education; Psychology; Computer science; Political science; Social science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01033506,0.0007543819,0.0009283897,0.002186573,0.03374087,0.0126988,0.00285447,0.004724731,0.003040616],"category_scores_gemma":[0.03169151,0.0008702124,0.0006871498,0.002554758,0.03683424,0.01003544,0.01109582,0.007629902,0.0009610692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02352929,"about_ca_system_score_gemma":0.02756737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1964731,"about_ca_topic_score_gemma":0.2466909,"domain_scores_codex":[0.9850411,0.01006724,0.0003571253,0.0006059264,0.001799333,0.002129287],"domain_scores_gemma":[0.9816823,0.01007862,0.002424362,0.0006265948,0.001801419,0.003386648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000881801,0.000007194382,0.0008795671,0.00002376075,0.000001621082,0.0001266574,0.9964147,0.000006260544,0.00009902474,0.0006045655,0.000698867,0.001128837],"study_design_scores_gemma":[0.00000310774,0.00001211848,0.0006417895,0.00005257015,0.000004810136,0.0001066007,0.9880585,0.00001398838,0.0001084986,0.0002130659,0.01077659,0.000008357651],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270331,0.002203667,0.00286703,0.03144139,0.0002628792,0.0001707336,0.00007965743,0.0001259062,0.03581572],"genre_scores_gemma":[0.9808179,0.00112495,0.0006879457,0.007153374,0.00006944925,0.00009420583,0.00003334615,0.00006795611,0.009950845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1964731,"threshold_uncertainty_score":0.390659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826279401794788,"score_gpt":0.3678475768232987,"score_spread":0.3295847828053509,"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."}}