{"id":"W2147543817","doi":"10.1068/c10127","title":"Trying to Measure Local Well-Being: Indicator Development as a Site of Discursive Struggles","year":2013,"lang":"en","type":"article","venue":"Environment and Planning C Government and Policy","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"Newcastle University","keywords":"Sustainability; Local government; Political science; Ethnography; Process (computing); Politics; Local authority; Government (linguistics); Quality (philosophy); Sociology; Performance indicator; Public administration; Economics; Management; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002446639,0.0001266914,0.0001745195,0.00003943625,0.000379529,0.0000516368,0.00007484998,0.00007281073,0.000280167],"category_scores_gemma":[0.00005067889,0.0001109405,0.00002341097,0.00004902382,0.000141909,0.000111035,0.00008941259,0.00008056372,0.00005887508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795135,"about_ca_system_score_gemma":0.00007435311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524876,"about_ca_topic_score_gemma":0.00007654479,"domain_scores_codex":[0.9986741,0.0000557848,0.0002030762,0.0001850239,0.0005259569,0.0003560395],"domain_scores_gemma":[0.9993845,0.0001088795,0.00008651732,0.00007362878,0.000003673058,0.0003428481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003401193,0.00004612071,0.8015819,0.00008875496,0.00004695575,0.000003240542,0.1516969,0.00002114575,0.00009546884,0.008852786,0.002282615,0.03525015],"study_design_scores_gemma":[0.0003621167,0.00007120131,0.7538134,0.000146768,0.00001635704,8.449414e-7,0.03396532,0.00001294655,0.0004497323,0.0004480779,0.2104563,0.0002569187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836401,0.0003390725,0.0001329147,0.00459476,0.00004450756,0.0003092655,0.00000912724,0.00001003927,0.0109202],"genre_scores_gemma":[0.996067,0.0002241825,0.0003184786,0.001352896,0.0001490227,0.00002511129,0.000003511796,0.000008113851,0.001851724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2081737,"threshold_uncertainty_score":0.5328581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120750628407827,"score_gpt":0.2696777343046772,"score_spread":0.2576026714638945,"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."}}