{"id":"W6892456278","doi":"10.5281/zenodo.10005500","title":"Layers of Meaning: Co-Designing with Bilingual Youth to Unearth their Reading Practices","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Shared reading; Extensive reading; Through-the-lens metering; Neuroscience of multilingualism; Data collection; Language acquisition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01515516,0.0008074982,0.0006273902,0.00176084,0.007640362,0.007336664,0.001882231,0.001014818,0.003884978],"category_scores_gemma":[0.01415998,0.000585312,0.0006327683,0.00112862,0.006534827,0.004536147,0.006163773,0.001758842,0.0009835974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005310711,"about_ca_system_score_gemma":0.007613662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233901,"about_ca_topic_score_gemma":0.03180994,"domain_scores_codex":[0.9907594,0.007072424,0.0002116758,0.000593271,0.0005870101,0.0007762565],"domain_scores_gemma":[0.9896606,0.00617343,0.0005416643,0.0009189672,0.001482414,0.001222991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006551349,0.0001685192,0.006936974,0.0001248985,0.000005589658,0.0005429791,0.9648173,0.0000470017,0.001812876,0.00206996,0.0008165452,0.02259189],"study_design_scores_gemma":[0.0000200421,0.0002140141,0.003251502,0.0002015558,0.00003424536,0.0004578956,0.9444238,0.0002972227,0.002437071,0.002018936,0.0466179,0.00002593658],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951659,0.0005591182,0.0223613,0.00135012,0.00007805313,0.0005369129,0.0001033161,0.0002815061,0.02307075],"genre_scores_gemma":[0.9635448,0.0004925904,0.02566871,0.000367491,0.00001610123,0.0004584373,0.0001174816,0.0001683864,0.009165996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515516,"threshold_uncertainty_score":0.08014905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907314305117459,"score_gpt":0.4206627594663568,"score_spread":0.2299313289546109,"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."}}