{"id":"W2937056698","doi":"","title":"Poetic Representation of teacher candidate feelings on the use of Information and Communication Technologies: From interview to poem","year":2019,"lang":"en","type":"article","venue":"2019 Conference of the Canadian Society for the Study of Education","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Representation (politics); Poetry; Feeling; Interpretation (philosophy); Process (computing); Citizenship; Computer science; Literacy; Sociology; Multimedia; Pedagogy; Psychology; Social psychology; Linguistics; Politics; Political science; Law","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":[0.01257306,0.0005858913,0.0005975181,0.002713323,0.007629288,0.005915988,0.0008123368,0.001263372,0.002967849],"category_scores_gemma":[0.02562111,0.0005490727,0.0003410591,0.001921546,0.009366826,0.004037299,0.004832245,0.003564514,0.0007694344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647483,"about_ca_system_score_gemma":0.002740473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566558,"about_ca_topic_score_gemma":0.00205567,"domain_scores_codex":[0.9913668,0.006750985,0.0002579081,0.0003078736,0.0006133136,0.000703116],"domain_scores_gemma":[0.988972,0.008149846,0.0007674676,0.0004134458,0.001102055,0.0005951644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004290941,0.00004307632,0.001050848,0.00005393004,0.000001363943,0.0003234757,0.9885947,0.00003851197,0.001097092,0.003399728,0.0006129097,0.004741447],"study_design_scores_gemma":[0.000005703069,0.00006149454,0.0008316716,0.00007994924,0.000001815591,0.0002333425,0.9868971,0.0001764869,0.0006028665,0.0008498711,0.01024675,0.00001305133],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624374,0.0002398275,0.01375241,0.003585862,0.0001818644,0.000484406,0.00009655408,0.00005399113,0.0191677],"genre_scores_gemma":[0.9899129,0.0003184808,0.003014701,0.000333746,0.00003246218,0.0005076525,0.0000553263,0.00003830608,0.005786358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257306,"threshold_uncertainty_score":0.06649351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08095861283255229,"score_gpt":0.2784327254972013,"score_spread":0.197474112664649,"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."}}