{"id":"W6888887392","doi":"10.24377/dteij.article1376","title":"An Administrative and Faculty Autoethnographic Analysis of Shifting Modalities of Pre-service Technology Education Programming during the Onset of COVID-19","year":2023,"lang":"en","type":"article","venue":"Liverpool John Moores University","topic":"Digital Education and Society","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Curriculum; Technology education; Modalities; Process (computing); Narrative; Information technology; Professional development; Technology integration; Higher education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002013626,0.00008170562,0.0001854024,0.0005594779,0.0001803835,0.00002622263,0.0005830607,0.00006599361,0.000003490536],"category_scores_gemma":[0.00006823822,0.00007597925,0.00008588218,0.004196436,0.0003186236,0.0003887978,0.0002125616,0.00007928207,2.190707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004188903,"about_ca_system_score_gemma":0.0003932992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279278,"about_ca_topic_score_gemma":0.0004514735,"domain_scores_codex":[0.9992467,0.00008285902,0.0001615536,0.0002173813,0.000169028,0.0001224372],"domain_scores_gemma":[0.9990175,0.0001187612,0.0002510814,0.0003362869,0.0002009443,0.00007537451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001041294,0.0008035627,0.5934842,0.0008124279,0.00139797,0.000006798821,0.2670091,0.003796302,0.0008313273,0.1203451,0.00007617198,0.01133291],"study_design_scores_gemma":[0.0002239991,0.000119062,0.8375442,0.00003258154,0.000199743,0.0000021029,0.1411086,0.01848464,0.0008625888,0.0009242499,0.000351212,0.0001469688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970108,0.0000186758,0.001751446,0.0007676877,0.0000236268,0.000145865,0.00006878075,0.0000907849,0.0001223177],"genre_scores_gemma":[0.9974365,0.00002293506,0.00238044,0.00002767951,0.000002618101,0.000001530806,0.00002819391,0.000002260093,0.00009779503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24406,"threshold_uncertainty_score":0.3098344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966905470717594,"score_gpt":0.315126372121758,"score_spread":0.285457317414582,"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."}}