{"id":"W2127423494","doi":"10.1111/j.1747-7379.2010.00811.x","title":"Pick-Your-Own Labor: Migrant Workers and Flexibility in Canadian Agriculture","year":2010,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Workforce; Flexibility (engineering); Migrant workers; Scope (computer science); Agriculture; Labour economics; Farm workers; Business; Economic growth; Economics; Management; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008192463,0.0001022284,0.0001410265,0.0001022864,0.0001446406,0.0001012323,0.0002110357,0.0001083849,0.0009874707],"category_scores_gemma":[0.0006691287,0.00008652759,0.00005010745,0.0003648445,0.00009351809,0.0002432786,0.00001250285,0.0002408975,0.00004182429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148051,"about_ca_system_score_gemma":0.0003655811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4795088,"about_ca_topic_score_gemma":0.9975213,"domain_scores_codex":[0.9988792,0.0001135951,0.0002958026,0.0002194408,0.0002904689,0.0002015124],"domain_scores_gemma":[0.999251,0.00004935847,0.00009187961,0.0001238995,0.0002616368,0.0002221902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001675874,0.0001792689,0.6042416,0.0002503697,0.00005972449,0.00002135572,0.02472589,0.00006990038,0.0007555974,0.1916829,0.1005161,0.07748049],"study_design_scores_gemma":[0.00008651661,0.000003917786,0.05109884,0.0002073743,0.000007134729,0.000002093961,0.0003664285,0.0002949183,0.000002927627,0.0002836006,0.9475392,0.0001070557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8349729,0.0100206,0.00002616625,0.1381095,0.001175381,0.0008365208,0.0001110933,0.00006272263,0.01468512],"genre_scores_gemma":[0.9602662,0.02670671,0.0005404574,0.005973469,0.0002874274,0.00006631452,0.0001710733,0.000008855369,0.005979456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8470231,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572411057150656,"score_gpt":0.3251107273055875,"score_spread":0.3093866167340809,"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."}}