{"id":"W7147605932","doi":"10.70675/79ac40fcz390bz4fd5z8ad7z2d5626e9f60a","title":"« Back to Tenochtitlan » : Migration de retour et nouvelles maquiladoras de la communication : Le cas des jeunes migrants employés dans les centres d’appel bilingues de la ville de Mexico.","year":2014,"lang":"","type":"dissertation","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Private life; Identity (music)","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":[0.001207074,0.0002180563,0.0001958205,0.0008429082,0.01256932,0.003699183,0.0008947414,0.001695702,0.005054683],"category_scores_gemma":[0.003462986,0.0002365335,0.0001951496,0.001304886,0.00504361,0.002998777,0.003453847,0.001973161,0.0003154703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004125435,"about_ca_system_score_gemma":0.004012278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2094721,"about_ca_topic_score_gemma":0.3679585,"domain_scores_codex":[0.9988832,0.0004039932,0.00002250711,0.0000987693,0.00007377294,0.0005177684],"domain_scores_gemma":[0.9984586,0.000500755,0.00045872,0.00008354726,0.0001713736,0.0003269333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006707515,0.00003096492,0.0467806,0.00004138299,0.000006170581,0.001788204,0.9334017,0.00001614277,0.0002590046,0.007227952,0.001572805,0.00880798],"study_design_scores_gemma":[0.000005070242,0.0000263433,0.06623388,0.00009368841,0.00001131922,0.0003700847,0.9108435,0.00003286734,0.0001021633,0.0005586335,0.02171249,0.000009932109],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838102,0.0007767699,0.00009819278,0.005125064,0.00004389576,0.00001186635,0.00003970522,0.000002993453,0.01009127],"genre_scores_gemma":[0.9913514,0.0006447411,0.0000724272,0.0005080626,0.0000209039,0.00002442823,0.0000286751,0.000004769976,0.007344557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2094721,"threshold_uncertainty_score":0.4165058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556222098708458,"score_gpt":0.3304860664147092,"score_spread":0.3149238454276246,"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."}}