{"id":"W7131949055","doi":"","title":"Advocacy and Collaboration in a Time of Global Upheaval: Insights from IFLA Regional Divisions","year":2025,"lang":"en","type":"article","venue":"MEF University Institutional Repository","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Misinformation; Globe; Democracy; Latin Americans; Censorship; Theme (computing); Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03957097,0.0008083574,0.001019818,0.002741186,0.06068527,0.04248041,0.004285725,0.01088412,0.01079789],"category_scores_gemma":[0.02963031,0.0008211382,0.001110174,0.003585859,0.03205192,0.02222744,0.03781036,0.01739875,0.002167422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02193392,"about_ca_system_score_gemma":0.03345055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02319454,"about_ca_topic_score_gemma":0.03922309,"domain_scores_codex":[0.9455076,0.0411443,0.0006556129,0.001423475,0.002273496,0.008995455],"domain_scores_gemma":[0.9610859,0.02144402,0.002069822,0.001443819,0.002958751,0.01099765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002892922,0.00004608302,0.001054244,0.000115652,0.000009578479,0.0006671798,0.9530267,0.00003183823,0.0001994356,0.02659271,0.0120424,0.006185367],"study_design_scores_gemma":[0.000006907273,0.00001845505,0.000643084,0.0001958694,0.000006567192,0.0001223151,0.8819929,0.0000349395,0.000106999,0.00256441,0.1142923,0.00001520015],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3669406,0.00629495,0.003899726,0.3579694,0.002388579,0.0002541204,0.0001406346,0.0002016909,0.2619105],"genre_scores_gemma":[0.9450972,0.002071772,0.001125393,0.03182233,0.0003392317,0.000236709,0.00005730701,0.0002280845,0.01902195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06068527,"threshold_uncertainty_score":0.2092738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009863550159602552,"score_gpt":0.2570065702613434,"score_spread":0.2471430201017408,"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."}}