{"id":"W4411920950","doi":"10.1007/s42438-025-00573-w","title":"Critical GenAI Literacy: Postdigital Configurations","year":2025,"lang":"en","type":"article","venue":"Postdigital Science and Education","topic":"Digital Education and Society","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Polytechnic","funders":"Fundação para a Ciência e a Tecnologia; Anadolu Üniversitesi; European Commission; Universidade Nova de Lisboa; Vetenskapsrådet; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Literacy; Psychology; Sociology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009406056,0.0005245736,0.0004172738,0.003278402,0.006341896,0.01642729,0.001362273,0.00249976,0.007249856],"category_scores_gemma":[0.02642409,0.0004603535,0.0004150312,0.002371035,0.06787138,0.01598061,0.0160601,0.004928709,0.0005794648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005866131,"about_ca_system_score_gemma":0.002550965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007129843,"about_ca_topic_score_gemma":0.001006809,"domain_scores_codex":[0.9875206,0.008812963,0.0005364482,0.001022933,0.001268251,0.0008388386],"domain_scores_gemma":[0.9678596,0.02179508,0.002499546,0.004238463,0.002377584,0.001229731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004629005,0.00002627448,0.001629178,0.0001565917,0.000006981119,0.000636572,0.1401046,0.000113037,0.000690527,0.8395472,0.0008165889,0.01622619],"study_design_scores_gemma":[0.00002571553,0.0000937912,0.003380314,0.001093957,0.0000233196,0.001675734,0.170628,0.0009685316,0.002986732,0.6803125,0.1387595,0.00005189095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3941611,0.005286868,0.08808418,0.02828055,0.001006154,0.0002280253,0.00009100941,0.0003068486,0.4825552],"genre_scores_gemma":[0.9912526,0.0004454245,0.004192474,0.0006537289,0.00007632249,0.00008291344,0.00001991585,0.00005864301,0.003217906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01642729,"threshold_uncertainty_score":0.04974461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007169620426832258,"score_gpt":0.3276148493332999,"score_spread":0.3204452289064676,"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."}}