{"id":"W1706976379","doi":"10.29173/slw6862","title":"Language learning through a lens: The case for digital storytelling in the second language classroom","year":2013,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Transformative learning; Language acquisition; Pedagogy; Vocabulary; Digital storytelling; Computer science; Comprehension approach; Language education; Mathematics education; Sociology; Psychology; Linguistics; Multimedia; Narrative","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005521601,0.0002027488,0.0002055027,0.00007531478,0.001120631,0.0004810447,0.0003855263,0.0001191191,0.001145901],"category_scores_gemma":[0.0009237769,0.000123509,0.0000973725,0.0003284995,0.000113268,0.002207859,0.00008355929,0.001122112,0.0008854434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008784606,"about_ca_system_score_gemma":0.0002436226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007069663,"about_ca_topic_score_gemma":0.0008007031,"domain_scores_codex":[0.9981551,0.0003288255,0.0004530032,0.0002880995,0.0001580668,0.0006168823],"domain_scores_gemma":[0.996361,0.002892848,0.0001919788,0.0004352064,0.00005323619,0.00006574374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001632776,0.0002340904,0.04640649,0.0006667995,0.0001186431,0.0002182091,0.4394938,0.0002084609,0.0001574009,0.01725419,0.4611197,0.03395899],"study_design_scores_gemma":[0.0005415074,0.00006086295,0.002375147,0.0001737906,0.00001812129,0.00003668567,0.4116156,0.0002144692,0.00005056362,0.006158902,0.5784782,0.0002761105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931389,0.002909503,0.0005635651,0.006157503,0.0007699109,0.001777495,0.00004861072,0.0002090643,0.0944254],"genre_scores_gemma":[0.9372874,0.00001049735,0.000516319,0.004617598,0.0008467708,0.0006694822,0.00009159786,0.00004972368,0.05591054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173586,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446396719127311,"score_gpt":0.321537051674864,"score_spread":0.2870730844835909,"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."}}