{"id":"W4200392015","doi":"10.3389/feduc.2021.760867","title":"Discourses on Learning in Education:Making Sense of a Landscape of Difference","year":2021,"lang":"en","type":"article","venue":"Frontiers in Education","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Relevance (law); Meaning (existential); Epistemology; Metaphor; Field (mathematics); Learning sciences; Process (computing); Relevance theory; Domain (mathematical analysis); Computer science; Cognitive science; Learning theory; Sociology; Experiential learning; Psychology; Mathematics education; Cognition; Political science; Linguistics; Philosophy","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":[0.03149928,0.0009072251,0.0010498,0.004265923,0.01386463,0.02313818,0.003568201,0.005693398,0.006190584],"category_scores_gemma":[0.04970655,0.0006288287,0.0006266229,0.003169698,0.08368094,0.04296557,0.01803594,0.007971994,0.000646515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008071247,"about_ca_system_score_gemma":0.004941508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929238,"about_ca_topic_score_gemma":0.001778955,"domain_scores_codex":[0.9623752,0.03140432,0.0006453232,0.001807901,0.002929523,0.0008377283],"domain_scores_gemma":[0.9474464,0.04333447,0.001834966,0.003367814,0.001904458,0.002111853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000243825,0.00002293144,0.0005387079,0.0001289743,0.000007980274,0.0002163078,0.3843024,0.0001735013,0.0003658659,0.6014509,0.001639978,0.011128],"study_design_scores_gemma":[0.00002378964,0.00003955206,0.0005645251,0.000539864,0.00001610018,0.0002016537,0.2679433,0.0009050475,0.0004981228,0.6176187,0.1116116,0.00003762753],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2169419,0.01087988,0.1810045,0.2020726,0.001732934,0.0004006431,0.0001411697,0.0003388149,0.3864875],"genre_scores_gemma":[0.9676458,0.001501057,0.02126705,0.002807592,0.0002335797,0.0002364814,0.00004814021,0.0001809487,0.006079361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03149928,"threshold_uncertainty_score":0.1665861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186937834204922,"score_gpt":0.3862824172719362,"score_spread":0.364413038929887,"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."}}