{"id":"W2539378427","doi":"10.1108/lr-02-2016-0015","title":"Redeploying public librarians to the front-lines: prioritizing digital inclusion","year":2016,"lang":"en","type":"article","venue":"Library Review","topic":"Library Science and Administration","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic; University of Toronto","funders":"","keywords":"Ethos; Public relations; Sociology; Inclusion (mineral); Argument (complex analysis); Relevance (law); Public service; Service (business); Front line; Democracy; Professional development; Political science; Business; Marketing; Social science; Pedagogy; Politics","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":[0.03194778,0.0005995319,0.00133964,0.008272095,0.03429064,0.045818,0.005618379,0.005907708,0.01483481],"category_scores_gemma":[0.07300125,0.0007350221,0.0006268271,0.009562312,0.027437,0.01997985,0.03955778,0.004961774,0.004152133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02011691,"about_ca_system_score_gemma":0.07502509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03261666,"about_ca_topic_score_gemma":0.05755401,"domain_scores_codex":[0.9500082,0.02290216,0.002112264,0.002479341,0.01060181,0.01189639],"domain_scores_gemma":[0.9058948,0.04391699,0.007457227,0.007091206,0.01591015,0.01972962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002242688,0.0003005368,0.02767924,0.002022319,0.00004022334,0.002346319,0.3876762,0.0002239933,0.00193908,0.1031721,0.0234201,0.4509555],"study_design_scores_gemma":[0.00003176585,0.0001667048,0.0118232,0.001535107,0.00004716389,0.001252464,0.573783,0.0003202467,0.002301118,0.0418923,0.3667582,0.00008877707],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4606223,0.01154227,0.03254507,0.1568009,0.00122148,0.0006137548,0.000117466,0.001000751,0.335536],"genre_scores_gemma":[0.9411711,0.002497392,0.01161921,0.01153465,0.0003157727,0.000187996,0.00006926753,0.0001854578,0.03241919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.045818,"threshold_uncertainty_score":0.168958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190971663042163,"score_gpt":0.3007792899340251,"score_spread":0.2488695733036035,"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."}}