{"id":"W2590194860","doi":"10.15453/0191-5096.3905","title":"Interrogating the Ruling Relations of Thailand’s Post-tsunami Reconstruction: Empirically Tracking Social Relations in the Absence of Conventional Texts","year":2015,"lang":"en","type":"article","venue":"The Journal of Sociology & Social Welfare","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Government (linguistics); Signage; Ethnography; Sociology; Work (physics); Political science; Public relations; Engineering; Linguistics; Business","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004269511,0.00008710238,0.0002251953,0.00007285226,0.001437447,0.0000254623,0.0006552045,0.0001430951,0.0001249249],"category_scores_gemma":[0.0006797057,0.00004979986,0.0001910685,0.0003208163,0.002215575,0.0002707927,0.00006305708,0.0005371202,0.000003280762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009674329,"about_ca_system_score_gemma":0.0002664245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512889,"about_ca_topic_score_gemma":0.0008639455,"domain_scores_codex":[0.9971554,0.00143499,0.0006468454,0.00008014372,0.0004859061,0.000196699],"domain_scores_gemma":[0.997678,0.0007095964,0.001011755,0.00007617617,0.0004968763,0.00002757474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009495058,0.0001045298,0.06052836,0.00001180772,0.0001305894,0.000003148417,0.7935842,0.0003065491,0.0001040502,0.1390342,0.001507445,0.004590203],"study_design_scores_gemma":[0.0004900777,0.00008597154,0.2347032,0.00004873915,0.00008947332,0.00001425768,0.7366667,0.00004244247,0.000002463141,0.02629353,0.001483307,0.00007976476],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138,0.0002083122,0.0001576497,0.07243901,0.0004306149,0.0001830287,0.000007785804,0.000006564278,0.01276703],"genre_scores_gemma":[0.9990973,0.00001806417,0.00008265749,0.0001677819,0.0003970806,0.000002751966,0.000002374029,0.000005097474,0.0002268406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1741748,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0469784521552566,"score_gpt":0.3368562678088138,"score_spread":0.2898778156535572,"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."}}