{"id":"W6963680813","doi":"10.2139/ssrn.5166434","title":"Rural Employment Evolutions","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rural area; Rural economics; Quarter (Canadian coin); Rural settlement; Rural development; Rural population; Empirical evidence; Population","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":[0.0006687791,0.0001156383,0.0002239211,0.001289903,0.0007769443,0.001723655,0.0004153988,0.0006908693,0.02992998],"category_scores_gemma":[0.003261636,0.0001150466,0.0002707431,0.002281113,0.0004708579,0.001067979,0.001290324,0.0006036852,0.00316526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080528,"about_ca_system_score_gemma":0.0005455322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00634106,"about_ca_topic_score_gemma":0.00748318,"domain_scores_codex":[0.9995949,0.00006228344,0.00001474855,0.0001072411,0.00007207861,0.0001487871],"domain_scores_gemma":[0.9986743,0.0003523516,0.0002332138,0.0001182206,0.0002655188,0.0003564604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001380875,0.0005719445,0.5471904,0.0003745698,0.0001906455,0.001322981,0.01835965,0.0107071,0.00938899,0.1471861,0.02810457,0.2352222],"study_design_scores_gemma":[0.00002667158,0.0001585978,0.8831206,0.00007798566,0.00002908797,0.0003936114,0.01540563,0.004642297,0.0008232871,0.02325362,0.07204501,0.00002359847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477205,0.000471401,0.0007793977,0.001996465,0.00003407537,0.00001693016,0.00185934,0.00004095933,0.04708098],"genre_scores_gemma":[0.9843768,0.0001697849,0.0001371979,0.00007582561,0.00001758434,0.000009932251,0.0005254143,0.00001604517,0.01467137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02992998,"threshold_uncertainty_score":0.1001258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009488264779937477,"score_gpt":0.2357438389664658,"score_spread":0.2262555741865283,"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."}}