{"id":"W4414823615","doi":"10.5539/jsd.v18n6p29","title":"Developing a Success Rate Metric for Evaluating Compensation in Development-Driven Forced Displacement and Resettlement in Bangladesh: A Micro-Level Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Bangladesh Politics, Society, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); Metric (unit); Displacement (psychology); Perspective (graphical); Measure (data warehouse); Displaced person","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01002989,0.0003174053,0.0006350593,0.00159884,0.0008031651,0.0002628516,0.0004492803,0.000194637,0.00001252223],"category_scores_gemma":[0.001157917,0.0003208046,0.00008175294,0.001746137,0.0001308965,0.0005062635,0.0002680991,0.0003368138,0.000001001506],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007124449,"about_ca_system_score_gemma":0.008203502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742891,"about_ca_topic_score_gemma":0.0009002588,"domain_scores_codex":[0.995405,0.0004261896,0.001778381,0.0004275092,0.0007854317,0.001177469],"domain_scores_gemma":[0.9973416,0.000589072,0.0006318192,0.0001244725,0.001131186,0.0001818809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00103625,0.001211315,0.171133,0.004297713,0.0008971458,0.0001850156,0.6722779,0.002018541,0.0005088475,0.1248088,0.003681925,0.01794358],"study_design_scores_gemma":[0.009265168,0.0001278284,0.4749469,0.001235166,0.00006436268,0.000007354408,0.4616857,0.0007648305,0.00265578,0.007272331,0.04100986,0.0009646378],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535668,0.0009991314,0.0399842,0.00182192,0.0003067353,0.002277062,0.000002764847,0.0000195905,0.001021738],"genre_scores_gemma":[0.7976257,0.0002554698,0.2000869,0.000390513,0.00005271895,0.0002981254,0.0000241982,0.0000219725,0.001244446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3038139,"threshold_uncertainty_score":0.9999244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06703224592628193,"score_gpt":0.366240613104191,"score_spread":0.2992083671779091,"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."}}