{"id":"W3014261608","doi":"10.1177/0033688220907199","title":"Not <i>More</i> Technology but <i>More</i> Effective Technology: Examining the State of Technology Integration in EAP Programmes","year":2020,"lang":"en","type":"article","venue":"RELC Journal","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Enthusiasm; Technology integration; Curriculum; Pedagogy; Stakeholder; Vision; Dilemma; Focus group; Sociology; Government (linguistics); Educational technology; Public relations; Psychology; Engineering ethics; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00056264,0.000221069,0.0003896397,0.0007720324,0.0003656763,0.00012517,0.0004828127,0.0001819308,0.0000815841],"category_scores_gemma":[0.0007319143,0.00014881,0.00008113067,0.0005149958,0.0007848837,0.0001714765,0.0001246574,0.002315872,0.00001676503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005546437,"about_ca_system_score_gemma":0.00005679741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008153716,"about_ca_topic_score_gemma":0.000153929,"domain_scores_codex":[0.9985194,0.00009238551,0.0005071833,0.0002699664,0.0002016541,0.0004094184],"domain_scores_gemma":[0.9990055,0.0001467572,0.0004201059,0.0002232915,0.0001558642,0.00004847971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008854634,0.00008147809,0.004670225,0.00003736314,0.0001028075,0.0001487625,0.06302582,0.00008634855,0.01156348,0.01459222,0.0001521245,0.9054508],"study_design_scores_gemma":[0.005008809,0.004408278,0.001649717,0.001740306,0.0002523675,0.001791991,0.7374437,0.002517626,0.1060492,0.01514904,0.1226212,0.001367805],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733986,0.001944124,0.0004320593,0.02237147,0.0002103353,0.0003265365,0.000007101482,0.0002846514,0.001025175],"genre_scores_gemma":[0.9982144,0.00006734882,0.0004865724,0.0007210554,0.0002231238,0.00004638898,0.000003016367,0.0000332069,0.0002048646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.904083,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170328465179094,"score_gpt":0.242726871617157,"score_spread":0.2256940250992476,"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."}}