{"id":"W7092183074","doi":"10.1002/pra2.1472","title":"Toward Agency‐Centered <scp>AI</scp> Literacy: A Scoping Review","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Historical Architecture and Urbanism","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; UK Research and Innovation","keywords":"Literacy; Framing (construction); Critical literacy; Relevance (law); Information literacy; Coercion (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140263,0.00006654739,0.0001512208,0.0003690896,0.0004683918,0.0001550303,0.0003450316,0.00005304031,0.000003135542],"category_scores_gemma":[0.002640055,0.0000467302,0.0000423288,0.0006283298,0.0002287375,0.001280237,0.000120704,0.0001046688,0.000004271985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183168,"about_ca_system_score_gemma":0.0001074649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004162325,"about_ca_topic_score_gemma":0.000002298632,"domain_scores_codex":[0.9991441,0.000001894512,0.0003289095,0.00009313936,0.000263966,0.0001680167],"domain_scores_gemma":[0.99792,0.00006454193,0.0004092938,0.00005638313,0.001532806,0.00001697185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001663255,0.00001470114,0.001128849,0.002136814,0.00001569576,5.829191e-9,0.01259049,8.856727e-8,0.0003998324,0.9372884,0.02251013,0.0239133],"study_design_scores_gemma":[0.0002801151,0.0000563313,0.000186464,0.003400278,0.00004525077,9.242481e-7,0.0007827114,0.00007466343,0.004667389,0.04623394,0.9442163,0.00005567742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0700215,0.006672733,0.0004703226,0.08631306,0.002576705,0.005156505,0.00008299259,0.0005894295,0.8281167],"genre_scores_gemma":[0.9888976,0.0006924769,0.0002773577,0.00552933,0.00005029226,0.0001572462,0.000003156502,0.000004157436,0.004388351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9217061,"threshold_uncertainty_score":0.3602539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766571037375981,"score_gpt":0.2638554969319417,"score_spread":0.2461897865581819,"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."}}