{"id":"W2027066657","doi":"10.1016/j.worlddev.2012.04.030","title":"Asking Questions to Understand Rural Livelihoods: Comparing Disaggregated vs. Aggregated Approaches to Household Livelihood Questionnaires","year":2012,"lang":"en","type":"article","venue":"World Development","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Economic and Social Research Council","keywords":"Livelihood; Portfolio; Data collection; Yield (engineering); Household income; Economics; Public economics; Business; Geography; Agriculture; Statistics; Financial economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02404617,0.0005931349,0.0008393348,0.001930294,0.0006461047,0.001396251,0.001021029,0.001206022,0.004091925],"category_scores_gemma":[0.07000142,0.0005648249,0.001061315,0.001954762,0.0009634872,0.002669478,0.003459041,0.001245787,0.0007864502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105821,"about_ca_system_score_gemma":0.0013872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003879369,"about_ca_topic_score_gemma":0.005685333,"domain_scores_codex":[0.9808658,0.0134735,0.001851556,0.0009792459,0.001924037,0.0009058263],"domain_scores_gemma":[0.9220603,0.05999139,0.008807721,0.002865946,0.005126789,0.001147794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003320527,0.002700432,0.4856649,0.003164745,0.001329739,0.0002223519,0.258753,0.004200438,0.006068527,0.004842571,0.005438068,0.2242947],"study_design_scores_gemma":[0.0004385826,0.003104174,0.8728944,0.0007146972,0.0003687267,0.0002100803,0.0961839,0.005447077,0.002395184,0.005269932,0.01273172,0.0002416375],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984835,0.0002340814,0.008070313,0.000373491,0.00004519588,0.001550896,0.001091898,0.00005443777,0.003744663],"genre_scores_gemma":[0.9708278,0.000462049,0.01728676,0.0006923403,0.00003586138,0.008107775,0.001290184,0.00003901475,0.001258346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02404617,"threshold_uncertainty_score":0.1271698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155344802923628,"score_gpt":0.2310843381462237,"score_spread":0.1155498578538609,"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."}}