{"id":"W2039062549","doi":"10.1300/j167v08n01_11","title":"Smoothing the Transition: Retraining Centers in Canada for Immigrant Librarians from Eastern Europe and the Former Soviet Union","year":2007,"lang":"en","type":"article","venue":"Slavic & East European Information Resources","topic":"Library Science and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Retraining; Immigration; Political science; Accreditation; Subject (documents); European union; Face (sociological concept); Library science; Sociology; Business; Law; Computer science; Social science; International trade","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":[0.002141284,0.0002771766,0.0003281466,0.001329344,0.03053732,0.004430182,0.003329514,0.001630504,0.009491105],"category_scores_gemma":[0.005613474,0.0003145579,0.0003976552,0.002176261,0.002897937,0.001484474,0.006114975,0.00218845,0.001084457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05410102,"about_ca_system_score_gemma":0.1827695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9564446,"about_ca_topic_score_gemma":0.9876002,"domain_scores_codex":[0.9974975,0.0002955966,0.00005579509,0.0001479061,0.0002977349,0.001705472],"domain_scores_gemma":[0.9893993,0.0005268988,0.0004521403,0.0002430138,0.002115854,0.007262894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001225492,0.002877902,0.3696766,0.0003089981,0.00006370355,0.007564436,0.1696671,0.001527549,0.0032116,0.01286943,0.1099151,0.3210922],"study_design_scores_gemma":[0.0002468326,0.0005964573,0.3089471,0.0003788931,0.00007666311,0.001029846,0.5337427,0.002500843,0.001641812,0.001609771,0.1490595,0.0001696779],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727855,0.0004232885,0.000357714,0.01094671,0.00008440429,0.0002155446,0.0001539614,0.0001273604,0.01490546],"genre_scores_gemma":[0.9763839,0.0003432521,0.001525985,0.004152527,0.00002682902,0.0001063437,0.0002155005,0.00003707426,0.01720855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05410102,"threshold_uncertainty_score":0.3925322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258914127191879,"score_gpt":0.2155759632698861,"score_spread":0.2029868219979673,"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."}}