{"id":"W2979122055","doi":"10.29173/cjs29599","title":"Re-Inscribing Gender Relations through Employment-Related Geographical Mobility: The Case of Newfoundland Youth in Resource Extraction","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Mobilities; Sociology; Workforce; Alliance; Gender studies; Apprenticeship; Resource (disambiguation); Gender relations; Scholarship; Economic growth; Social science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369029,0.00008009195,0.0001749502,0.00002705163,0.0003480533,0.00001997011,0.0002091754,0.0001580629,0.0002591024],"category_scores_gemma":[0.0001393682,0.00002592528,0.0001094046,0.0002511055,0.0004080005,0.0001131739,0.00001712891,0.0004746689,0.000003844841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814508,"about_ca_system_score_gemma":0.0001465843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04475543,"about_ca_topic_score_gemma":0.344753,"domain_scores_codex":[0.9987093,0.0004505102,0.0004085556,0.0001092746,0.00007984239,0.0002424778],"domain_scores_gemma":[0.9990425,0.0004751362,0.0002173727,0.00007080907,0.0001129282,0.00008133044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003952964,0.00002537124,0.9771923,0.000004113778,0.00005059032,0.00007853374,0.01731887,0.000164506,0.0002985451,0.00312457,0.0002489294,0.001454153],"study_design_scores_gemma":[0.0002110744,0.0001309984,0.9137827,0.00001153559,0.00002820142,0.0001473269,0.0537811,0.00001861643,0.00000600107,0.03018245,0.001623408,0.00007660097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862394,0.0002953459,8.437561e-7,0.01229052,0.0001379393,0.000190645,0.000006814796,0.00000316789,0.0008352651],"genre_scores_gemma":[0.9995697,0.00001100658,0.000008026172,0.0002511203,0.00004558954,0.000001423263,0.000006999247,8.329703e-7,0.0001052791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2999976,"threshold_uncertainty_score":0.9616056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531954373136455,"score_gpt":0.2519363589013017,"score_spread":0.2166168151699371,"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."}}