{"id":"W4408263053","doi":"10.29173/pathfinder121","title":"Liberatory Librarianship","year":2025,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0050938,0.0006626258,0.0007528741,0.002999378,0.01187799,0.01666285,0.001683322,0.006572684,0.1982935],"category_scores_gemma":[0.01064467,0.0007004174,0.0005831586,0.001873828,0.005170553,0.005439482,0.008985501,0.007327983,0.09829932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007084424,"about_ca_system_score_gemma":0.0161633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278706,"about_ca_topic_score_gemma":0.03439119,"domain_scores_codex":[0.9943838,0.0007022496,0.0002775318,0.0008997504,0.002463816,0.001272881],"domain_scores_gemma":[0.9942211,0.0009651398,0.0002557037,0.001204124,0.001744366,0.001609662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005445401,0.00005429508,0.0004406346,0.00009791567,0.000008568154,0.0001465191,0.001066621,0.00002229209,0.0003972572,0.3103758,0.6319332,0.05540253],"study_design_scores_gemma":[0.000006701472,0.000005813884,0.0002033199,0.00003874852,0.000002445446,0.00005069376,0.0001420076,0.00001564243,0.0001519829,0.005559368,0.9938183,0.000004949751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001577736,0.003480837,0.00102246,0.02876179,0.00312899,0.00007710619,0.0003083533,0.0002579316,0.9613848],"genre_scores_gemma":[0.007531296,0.0005868106,0.0004220001,0.006024735,0.0004023862,0.00003097863,0.00009249571,0.00007018875,0.9848392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1982935,"threshold_uncertainty_score":0.6633579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04825941400326645,"score_gpt":0.3647879375877371,"score_spread":0.3165285235844707,"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."}}