{"id":"W2970251634","doi":"10.1515/text-2019-0239","title":"Analyzing the talking book Imagine a world: A multimodal approach to English language learning in a multilingual context","year":2019,"lang":"en","type":"article","venue":"Text and Talk","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Semiotics; Meaning (existential); Multimodality; Linguistics; Context (archaeology); Computer science; Meaning-making; Applied linguistics; Language education; Sociology; Discourse analysis; Language acquisition; Psychology; Pedagogy; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004509115,0.0001834563,0.0002430513,0.0002555886,0.0002649679,0.0003205252,0.0001490198,0.00003069952,0.001180058],"category_scores_gemma":[0.0001483484,0.0001329988,0.00006651245,0.00009700082,0.00008294157,0.0002087794,0.00009097111,0.0006345892,0.00005664391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002413665,"about_ca_system_score_gemma":0.00001464904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003330787,"about_ca_topic_score_gemma":0.002582448,"domain_scores_codex":[0.9989116,0.000112914,0.0002099123,0.0003166806,0.0001150569,0.0003337929],"domain_scores_gemma":[0.9994566,0.000201002,0.00007060408,0.0001745536,0.00003285416,0.00006439996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004719612,0.00008028375,0.01003315,0.00005433636,0.00004833834,0.00002630275,0.8013098,0.0003451407,0.0003173715,0.004953287,0.000166279,0.1826185],"study_design_scores_gemma":[0.002409268,0.0001210267,0.003041222,0.0002602206,0.00004741849,0.00001880443,0.5696331,0.02353962,0.0001179652,0.00002499159,0.4000516,0.0007347328],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025284,0.002773814,0.00002360274,0.0001046723,0.0001646621,0.0002593469,0.000002861029,0.0001381378,0.0940045],"genre_scores_gemma":[0.9639548,0.000003316033,0.00009871412,0.0006161591,0.000462399,0.00001917352,0.00001531984,0.00003028955,0.03479983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3998853,"threshold_uncertainty_score":0.999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00977295840336005,"score_gpt":0.2315570997056071,"score_spread":0.2217841413022471,"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."}}