{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171046,0.0004726115,0.0002743754,0.001982012,0.002676196,0.005705006,0.0007312427,0.0007099789,0.005583864],"category_scores_gemma":[0.002966454,0.0002031711,0.0003045395,0.001150344,0.004712741,0.003483236,0.003470582,0.00124203,0.000423243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611463,"about_ca_system_score_gemma":0.0008051732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342313,"about_ca_topic_score_gemma":0.006808877,"domain_scores_codex":[0.9989742,0.0006587987,0.00001942028,0.0001013073,0.0001727867,0.00007350983],"domain_scores_gemma":[0.9979287,0.00163174,0.0001301797,0.00007530604,0.0001252411,0.0001088114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008181953,0.00009740729,0.008315645,0.0003394344,0.00002935954,0.003640932,0.8661504,0.0018172,0.01643319,0.04981602,0.001602492,0.0516762],"study_design_scores_gemma":[0.00001000562,0.00008400187,0.01497865,0.0002800119,0.00003394869,0.001672752,0.9009922,0.006306892,0.009719279,0.01780799,0.04805685,0.00005753187],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520304,0.0003600239,0.07550695,0.001192903,0.00004268812,0.0001506364,0.0001799585,0.0001867794,0.07034975],"genre_scores_gemma":[0.9746575,0.0001733053,0.01740581,0.00005387719,0.00000908461,0.00007467493,0.00006821096,0.00007701223,0.007480576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005705006,"threshold_uncertainty_score":0.01867986,"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."}}