{"id":"W2752976473","doi":"10.4000/hommesmigrations.3924","title":"« Vous pouvez aider les gens, ça fait beaucoup de bien ! »","year":2017,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Humanities; Philosophy; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00109411,0.0002014187,0.0002125625,0.00007440146,0.00513834,0.0003442751,0.000602119,0.0003343336,0.0007700241],"category_scores_gemma":[0.001629053,0.0002254907,0.0001710743,0.0001421556,0.002324238,0.0005830231,0.00005469028,0.0002985365,0.0002798443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824388,"about_ca_system_score_gemma":0.0008133699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026864,"about_ca_topic_score_gemma":0.01422027,"domain_scores_codex":[0.9980938,0.0004313648,0.0003171484,0.0003439655,0.0002540126,0.0005597183],"domain_scores_gemma":[0.9979829,0.0007922374,0.0002963694,0.0004799961,0.0002412119,0.0002072917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002233941,0.0003097037,0.1126888,0.00002847447,0.000132374,0.000002760174,0.1247415,0.00005107809,0.000129979,0.3780721,0.3473285,0.03651255],"study_design_scores_gemma":[0.0001780441,0.00003258387,0.1583605,0.00005490535,0.00009537123,0.000005420179,0.1052524,0.0001063794,0.00002307313,0.01546285,0.7201578,0.0002706772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.473586,0.07717805,0.00206773,0.3910523,0.007711004,0.0005502835,0.0002733198,0.0001617275,0.04741955],"genre_scores_gemma":[0.9098919,0.003510549,0.005924182,0.001127866,0.005682715,0.00008536396,0.00009843183,0.00002530372,0.07365369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4363059,"threshold_uncertainty_score":0.9963221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.174658321465018,"score_gpt":0.4328726493617248,"score_spread":0.2582143278967068,"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."}}