{"id":"W3024102111","doi":"10.7202/1068739ar","title":"Trouver un emploi pour une personne réfugiée : les dimensions de l’accueil","year":2020,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Sociology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007199924,0.0006661078,0.0004760398,0.001517038,0.020276,0.01009265,0.001782641,0.002801116,0.008720761],"category_scores_gemma":[0.01085648,0.0005033202,0.0005008741,0.001198282,0.01978904,0.006134082,0.009955289,0.005218061,0.001325981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01025368,"about_ca_system_score_gemma":0.01801979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2447611,"about_ca_topic_score_gemma":0.3424258,"domain_scores_codex":[0.9924866,0.00399925,0.0001745956,0.0005121666,0.001285225,0.001542064],"domain_scores_gemma":[0.9923493,0.002473228,0.001030304,0.0004223197,0.001828953,0.001895966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002715909,0.00003992318,0.01545699,0.0001023971,0.00001364457,0.0007438174,0.954273,0.00004021424,0.0003161285,0.01322297,0.002758457,0.01300523],"study_design_scores_gemma":[0.000004959267,0.00003653149,0.0184076,0.0003548984,0.00001619158,0.0003878159,0.9242738,0.00009657518,0.0001706562,0.001822029,0.05438796,0.00004096272],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8747157,0.005351764,0.005590769,0.0257755,0.0005290849,0.00009228209,0.0001290231,0.00006634005,0.08774945],"genre_scores_gemma":[0.9836348,0.001847919,0.001095862,0.001585347,0.00006007181,0.00005210013,0.00004927438,0.00003640473,0.01163823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2447611,"threshold_uncertainty_score":0.4866728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358616610640737,"score_gpt":0.2613357579579008,"score_spread":0.2377495918514934,"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."}}