{"id":"W3172380798","doi":"10.71781/5342","title":"L’expérience d’immigrants, candidats aux ordres professionnels, lors de l’évaluation authentique de leurs compétences langagières, quant à l’épreuve de français de l’Office québécois de la langue française (OQLF)","year":2020,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Valuation (finance); Sociology; Philosophy; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007115096,0.0003897099,0.0004643451,0.001055515,0.0166834,0.008009777,0.001165366,0.002416071,0.006470316],"category_scores_gemma":[0.00934849,0.0003386797,0.0004165763,0.001243748,0.008893188,0.002725567,0.005006608,0.003653988,0.001076414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0174467,"about_ca_system_score_gemma":0.02729648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7048029,"about_ca_topic_score_gemma":0.8696449,"domain_scores_codex":[0.9949632,0.002064579,0.0001493519,0.0002941701,0.001134435,0.001394252],"domain_scores_gemma":[0.9907166,0.001770566,0.0006353566,0.0002143914,0.003287937,0.003375026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007300766,0.0001196132,0.02471084,0.00008086977,0.000009681979,0.0007710024,0.9483045,0.00003387506,0.0004442825,0.001731731,0.008305524,0.01541504],"study_design_scores_gemma":[0.000007086317,0.00006088306,0.01617856,0.0001503388,0.000006462782,0.0001788218,0.9479039,0.00003801881,0.000109669,0.0001485901,0.03518941,0.00002836585],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644969,0.001717339,0.0003234477,0.007962989,0.000256686,0.00005054351,0.0001177824,0.00001330082,0.02506107],"genre_scores_gemma":[0.9649231,0.001738216,0.0002946992,0.002708,0.00006070274,0.00006406952,0.0001223279,0.00002249124,0.03006641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2951971,"threshold_uncertainty_score":0.5938712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2223483853723985,"score_gpt":0.4609916667907652,"score_spread":0.2386432814183667,"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."}}