{"id":"W2470870246","doi":"10.1108/nlw-03-2016-0020","title":"A two-way street: building the recruitment narrative in LIS programs","year":2016,"lang":"en","type":"article","venue":"New Library World","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Narrative; Accreditation; Originality; Sociology; Conversation; Attractiveness; Value (mathematics); Diversity (politics); Higher education; The Internet; Public relations; Psychology; Medical education; Pedagogy; Qualitative research; World Wide Web; Computer science; Political science; Social science","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":[0.1011869,0.0008651707,0.0007722743,0.003350656,0.03445542,0.02200481,0.003362922,0.006156206,0.006085437],"category_scores_gemma":[0.1060938,0.001191183,0.0006392728,0.002103831,0.01765962,0.02264231,0.025486,0.009047844,0.001970058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01038105,"about_ca_system_score_gemma":0.02703701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499067,"about_ca_topic_score_gemma":0.00441533,"domain_scores_codex":[0.8689446,0.1204059,0.001979852,0.001758448,0.003531216,0.003379931],"domain_scores_gemma":[0.9199424,0.05451386,0.004098486,0.002856863,0.007062825,0.01152553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008008968,0.0001836869,0.002060757,0.000229977,0.000006109242,0.0006620475,0.9029424,0.0001957389,0.0005574377,0.05922141,0.007831271,0.02602898],"study_design_scores_gemma":[0.00002720765,0.0001884864,0.0007365767,0.000636864,0.000008754559,0.0003084982,0.8108302,0.001122631,0.0007098023,0.01986401,0.1655212,0.00004576775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4424492,0.001863735,0.1660162,0.2639361,0.003212611,0.00940567,0.0003524149,0.0005902222,0.1121738],"genre_scores_gemma":[0.8716691,0.001502481,0.07506716,0.01452876,0.0006100392,0.008880959,0.0001988268,0.0002829737,0.0272597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011869,"threshold_uncertainty_score":0.5351338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05948329804637635,"score_gpt":0.3278642741703837,"score_spread":0.2683809761240074,"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."}}