{"id":"W4311274684","doi":"10.21083/partnership.v17i2.6680","title":"Your Information Literacy Practices (YILP): Information Literacy and Resourcefulness","year":2022,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Durham College","funders":"","keywords":"Information literacy; Conceptualization; Set (abstract data type); Literacy; Measure (data warehouse); Association (psychology); Computer science; Affect (linguistics); Psychology; Mathematics education; Knowledge management; Pedagogy; Artificial intelligence","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":[0.002025858,0.0002730328,0.0003363685,0.002274633,0.0007692647,0.001936129,0.0004697953,0.0007496789,0.004157363],"category_scores_gemma":[0.01004531,0.0001941469,0.0004738414,0.001779996,0.001367567,0.002049286,0.002674381,0.001374551,0.0007247675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007801746,"about_ca_system_score_gemma":0.001014775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239891,"about_ca_topic_score_gemma":0.004331952,"domain_scores_codex":[0.9985733,0.0003873369,0.0002250487,0.000105141,0.0005189259,0.0001901847],"domain_scores_gemma":[0.9889127,0.003030197,0.003861235,0.0007059272,0.001529889,0.001959946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001828773,0.001939444,0.7612094,0.0007007992,0.0001734844,0.0002464921,0.03979912,0.0002450368,0.002499938,0.005567214,0.005063134,0.1823732],"study_design_scores_gemma":[0.00002747879,0.0006454806,0.9586669,0.0003233759,0.00008397384,0.0004022753,0.02123838,0.0005828412,0.001445737,0.004382135,0.01213387,0.00006740143],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737377,0.0002760945,0.001734794,0.0006595424,0.00002508812,0.0002289664,0.0004845476,0.00004812582,0.02280529],"genre_scores_gemma":[0.9939215,0.0003283131,0.002682811,0.0002286432,0.00001978847,0.0002692475,0.0003681687,0.000006927022,0.002174576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004157363,"threshold_uncertainty_score":0.01390779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06408392359884109,"score_gpt":0.3847222183225237,"score_spread":0.3206382947236826,"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."}}