{"id":"W4214697295","doi":"10.21083/nrsc.v2021i14.6797","title":"Fundamentals of Language and Language Learning: A Collaborative Initiative for the Implementation of a Common Online Language Training Component in the First-Year Language Curriculum","year":2021,"lang":"en","type":"article","venue":"Nouvelle Revue Synergies Canada","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Guelph","funders":"","keywords":"Computer science; Curriculum; Foreign language; Comprehension approach; Language industry; Language acquisition; Language assessment; Language education; Universal Networking Language; Mathematics education; Asynchronous learning; Pedagogy; Psychology; Teaching method; Synchronous learning; Cooperative learning","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":[0.01339437,0.000704776,0.0003727283,0.001398892,0.004377959,0.005936146,0.003558645,0.002093923,0.009131028],"category_scores_gemma":[0.008351237,0.0003928916,0.0005565791,0.000547449,0.00240752,0.002544908,0.01195607,0.002786159,0.002854724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006666844,"about_ca_system_score_gemma":0.05747161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000228,"about_ca_topic_score_gemma":0.04866543,"domain_scores_codex":[0.9933059,0.002415522,0.0002068679,0.001140186,0.001863778,0.001067832],"domain_scores_gemma":[0.9857296,0.000664497,0.0003714974,0.00103631,0.001797878,0.01040027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001980459,0.002969851,0.00803111,0.0002440767,0.00002175407,0.0006406495,0.0358981,0.001468079,0.01498055,0.01909951,0.1064433,0.8100049],"study_design_scores_gemma":[0.0001490591,0.001472239,0.01682187,0.000406138,0.00002966825,0.0009671014,0.02296509,0.004975833,0.00891309,0.01203853,0.9311263,0.0001350287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2978899,0.002383702,0.405589,0.04687799,0.004024813,0.01038148,0.00091177,0.007987767,0.2239536],"genre_scores_gemma":[0.295955,0.0008529804,0.5889824,0.002033028,0.0002896113,0.002303564,0.0007891096,0.0005701735,0.1082242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799977,"threshold_uncertainty_score":0.07083702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852389594638891,"score_gpt":0.2665962816086152,"score_spread":0.2480723856622263,"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."}}