{"id":"W4404656408","doi":"","title":"Immigration linguistic policies and French teaching for adult migrants : cross analysis on France, Belgium, Switzerland and Quebec","year":2018,"lang":"fr","type":"dissertation","venue":"theses.fr (ABES)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Geography; Political science; Linguistics; Sociology; Archaeology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002368786,0.0006830753,0.00108167,0.0006251617,0.002035016,0.0006616648,0.0004443155,0.0007584906,0.0001373123],"category_scores_gemma":[0.008160683,0.0006406504,0.0003329391,0.0009365913,0.0009547335,0.0002703449,0.00005212256,0.0007540688,0.00002370693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657185,"about_ca_system_score_gemma":0.0002002651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6395936,"about_ca_topic_score_gemma":0.6390641,"domain_scores_codex":[0.9955465,0.001053306,0.0007568647,0.001065796,0.0007268781,0.0008506696],"domain_scores_gemma":[0.9953248,0.002338798,0.0007771876,0.0004813065,0.0007905957,0.0002873341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001571437,0.0002379054,0.1520656,0.0008606462,0.001402193,0.0000115523,0.6876673,0.0001677712,0.001007042,0.0400256,0.000176322,0.116221],"study_design_scores_gemma":[0.002782559,0.001376798,0.750227,0.003031689,0.006974634,0.000007644463,0.1070652,0.01490093,0.001999334,0.007491377,0.1007873,0.003355544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749882,0.00391082,0.002772561,0.0003102908,0.001283635,0.0008162589,0.0001588167,0.0001121491,0.01564722],"genre_scores_gemma":[0.9690465,0.0003657907,0.00850044,0.000247313,0.00184939,0.0001160874,0.0004589228,0.00007798543,0.01933758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5981614,"threshold_uncertainty_score":0.9996045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342745641075003,"score_gpt":0.3531076346703985,"score_spread":0.3396801782596485,"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."}}