{"id":"W6997275201","doi":"","title":"What Meaning Can We Make Together? On Learning to Code Qualitative Research Data with Graduate Students in Education","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Digital Education and Society","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Coding (social sciences); Qualitative research; Qualitative property; Graduate students; Meaning (existential); Code (set theory); Space (punctuation); Graduate 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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.007732188,0.0002000367,0.0003660122,0.001111318,0.0003390849,0.006853185,0.007578461,0.00005020441,0.0001092098],"category_scores_gemma":[0.001017779,0.0001778314,0.00004426799,0.004282854,0.00008907284,0.00496751,0.003015908,0.0006970416,0.00006192088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593697,"about_ca_system_score_gemma":0.0007444673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164149,"about_ca_topic_score_gemma":0.0007336466,"domain_scores_codex":[0.9952449,0.001149222,0.0005137215,0.0007327523,0.001884436,0.0004749416],"domain_scores_gemma":[0.9968736,0.001007391,0.0003054922,0.0009368715,0.000573868,0.0003027722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001842529,0.00144974,0.1229969,0.0001381696,0.0002301734,0.00004378146,0.3622037,0.002953031,0.001595283,0.005135095,0.1174769,0.385593],"study_design_scores_gemma":[0.001158648,0.0001597134,0.623593,0.005760299,0.00002151394,0.00001015396,0.2826388,0.002318732,0.002069598,0.04603091,0.03502933,0.001209221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986928,0.0007341737,0.000372022,0.00714141,0.00102341,0.0006573796,0.00001496402,0.00007324092,0.003055364],"genre_scores_gemma":[0.9910535,0.004171958,0.0008918289,0.000876255,0.0000661129,0.00008765407,0.00003344021,0.00003738928,0.002781844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5005962,"threshold_uncertainty_score":0.997791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6703509283827316,"score_gpt":0.6880719577938295,"score_spread":0.01772102941109788,"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."}}