{"id":"W2998328657","doi":"10.56645/jmde.v15i33.539","title":"Using Action Research to Build Evaluation Capacity in Public Health Organizations","year":2019,"lang":"en","type":"article","venue":"Journal of MultiDisciplinary Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Capacity building; Public health; Action research; Qualitative research; Data collection; Action (physics); Program evaluation; Public relations; Medical education; Psychology; Political science; Sociology; Medicine; Nursing; Public administration; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2248857,0.001281828,0.00105034,0.007246795,0.01067694,0.01327675,0.004508581,0.002859229,0.003727535],"category_scores_gemma":[0.1786307,0.0009515284,0.001062676,0.003442022,0.03156164,0.01289548,0.01847334,0.004194997,0.0003382286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0394857,"about_ca_system_score_gemma":0.09698018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02936545,"about_ca_topic_score_gemma":0.04379032,"domain_scores_codex":[0.7037666,0.2674311,0.004288079,0.004657574,0.01217031,0.007686266],"domain_scores_gemma":[0.6292976,0.3057006,0.01740641,0.0170521,0.01946172,0.01108168],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004202646,0.003294179,0.04541264,0.005124912,0.0003448882,0.000809614,0.3314309,0.01205411,0.001762724,0.1531188,0.01194192,0.434285],"study_design_scores_gemma":[0.001108077,0.002224751,0.03531715,0.01481744,0.0003482735,0.000419533,0.466446,0.01582977,0.006033332,0.2884935,0.1685405,0.0004216128],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4640049,0.006341055,0.2403046,0.07425217,0.0005414936,0.015868,0.0002459116,0.0006405081,0.1978013],"genre_scores_gemma":[0.8893568,0.001323247,0.1021185,0.001530858,0.00006021563,0.003990846,0.00007172591,0.00003988468,0.001508002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7751143,"threshold_uncertainty_score":0.9558539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8641173841470653,"score_gpt":0.654224582662043,"score_spread":0.2098928014850223,"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."}}