{"id":"W4283782005","doi":"10.20360/langandlit29620","title":"Literacy Entanglements and Relationality, Time, Place, Space and Identity","year":2022,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Montréal; Université de Montréal; University of Alberta","funders":"","keywords":"Literacy; Identity (music); Scholarship; Theme (computing); Sociology; Conversation; Face (sociological concept); Space (punctuation); Media studies; Epistemology; Pedagogy; Linguistics; Aesthetics; Social science; Computer science; Political science; Communication; World Wide Web; Art; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.000824789,0.0004455205,0.0004627041,0.001787572,0.004831003,0.01062219,0.0006491297,0.001985109,0.07039076],"category_scores_gemma":[0.004487013,0.0003230932,0.0003122628,0.001802004,0.004694432,0.008848977,0.004403644,0.003858944,0.01027819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156969,"about_ca_system_score_gemma":0.003752972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005845048,"about_ca_topic_score_gemma":0.02411546,"domain_scores_codex":[0.9993873,0.0001945023,0.00003689465,0.00006910731,0.0002195545,0.00009257233],"domain_scores_gemma":[0.9972475,0.001245031,0.000302421,0.0001900823,0.0003104433,0.0007045421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003096369,0.00005537115,0.0008249447,0.0002482057,0.00001013003,0.000208027,0.007981526,0.00002099528,0.0003478615,0.04704044,0.8927606,0.05047098],"study_design_scores_gemma":[0.000003687009,0.00001850948,0.001274733,0.0003251644,0.000005044516,0.0001965612,0.009603539,0.00005169438,0.0000843991,0.00813695,0.9802839,0.00001576501],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0111383,0.06101301,0.004510441,0.1903127,0.1600337,0.0001297762,0.0004495902,0.0005869574,0.5718254],"genre_scores_gemma":[0.1269554,0.07042123,0.005139327,0.04644454,0.07646967,0.0002793957,0.0008349571,0.001026776,0.6724286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07039076,"threshold_uncertainty_score":0.2354805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00953846218756147,"score_gpt":0.2714981112627624,"score_spread":0.2619596490752009,"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."}}