{"id":"W2294728882","doi":"10.1504/ijmbs.2014.068967","title":"The recruitment of Guatemalan agricultural workers by Canadian employers: mapping the web of a transnational network","year":2014,"lang":"en","type":"article","venue":"International Journal of Migration and Border Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Immigration; Context (archaeology); Work (physics); Agriculture; Business; Phenomenon; Field (mathematics); Demographic economics; Labour economics; Political science; Law; Economics; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075607,0.00006365397,0.0001204046,0.00005640734,0.0003153964,0.00005413025,0.0002097762,0.00003039562,0.00001408179],"category_scores_gemma":[0.0002158128,0.00003352721,0.00006520772,0.0001509307,0.0002265088,0.0001072149,0.00001085488,0.0000796014,1.813081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006852613,"about_ca_system_score_gemma":0.0002112391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632429,"about_ca_topic_score_gemma":0.4941078,"domain_scores_codex":[0.9988136,0.0001790579,0.0003896924,0.00005391583,0.0004614193,0.0001023195],"domain_scores_gemma":[0.998195,0.0003346663,0.0003627918,0.0000365206,0.001023106,0.00004789482],"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":[0.0001375416,0.0001014223,0.1128762,0.00002025668,0.002038941,0.000001593218,0.112701,0.002095959,0.0005735101,0.6391202,0.09287009,0.03746331],"study_design_scores_gemma":[0.0005631118,0.00008406762,0.04616627,0.00009120558,0.00004461731,0.000004852145,0.07615368,0.0007944728,0.00003381859,0.001776555,0.8741831,0.0001042939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7551145,0.004697556,0.0008220209,0.2350323,0.001363761,0.0003484281,0.00003507821,0.00000733578,0.002579042],"genre_scores_gemma":[0.9962581,0.002684116,0.0001548098,0.000246713,0.000186384,0.000005684721,0.000004860676,0.000002325257,0.0004569543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7813129,"threshold_uncertainty_score":0.5151234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04831224195881872,"score_gpt":0.3360779075391265,"score_spread":0.2877656655803078,"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."}}