{"id":"W3204072806","doi":"10.17509/ijal.v11i2.29450","title":"Teaching French Language Through Films: The Cultural Contents in French and Francophone Films","year":2021,"lang":"en","type":"article","venue":"Indonesian Journal of Applied Linguistics","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Indonesia","keywords":"French; Reading (process); Categorization; Globalization; Sociology; Linguistics; Art; Computer science; Humanities; Political science; Artificial intelligence; Philosophy; Law","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":[0.001254909,0.0004660777,0.0001563406,0.001500596,0.004728133,0.00549905,0.0003746672,0.0008049541,0.003616908],"category_scores_gemma":[0.002686837,0.0001543444,0.0002265421,0.001272355,0.003160362,0.002156992,0.001298955,0.0009981808,0.0002242679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005157426,"about_ca_system_score_gemma":0.00129564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0403748,"about_ca_topic_score_gemma":0.08364643,"domain_scores_codex":[0.9989879,0.0005929052,0.0000224106,0.0000936046,0.0001400067,0.0001631643],"domain_scores_gemma":[0.9986249,0.000793724,0.0001380703,0.00004929065,0.0002025557,0.00019137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002135452,0.0001557378,0.009856134,0.0005020206,0.0000245302,0.002293122,0.8900116,0.0001082977,0.008061806,0.01792972,0.007200762,0.06364263],"study_design_scores_gemma":[0.00002217134,0.0002397244,0.05615104,0.0006420225,0.00005577288,0.001596692,0.6665714,0.0002226936,0.003534439,0.001288997,0.269619,0.00005602813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899621,0.004003851,0.001527761,0.003402532,0.0002500978,0.00009543592,0.0001926912,0.00003361054,0.1005319],"genre_scores_gemma":[0.9834728,0.002022273,0.001174135,0.0003627474,0.00007645434,0.00003376138,0.00009768452,0.00003029108,0.01272987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0403748,"threshold_uncertainty_score":0.08027959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420472679813108,"score_gpt":0.260674419897398,"score_spread":0.236469693099267,"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."}}