{"id":"W4387216447","doi":"10.1177/23996544231200002","title":"Post-disaster mobilities of Muslim typhoon survivors: How gendered religious preferences and discrimination shape socio-spatial exclusions in Catholic-majority Cagayan de Oro, Philippines","year":2023,"lang":"en","type":"article","venue":"Environment and Planning C Politics and Space","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Université de Montréal; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; International Development Research Centre; University of Ottawa","keywords":"Mobilities; Relocation; Gender studies; Politics; Sociology; Focus group; Natural disaster; Typhoon; Worship; Political science; Criminology; Geography; Law; Social science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003981123,0.000101201,0.0001329567,0.0001015337,0.0002822591,0.00004869554,0.00004179961,0.00008892188,0.00001192648],"category_scores_gemma":[0.0001278724,0.0000992366,0.00001548418,0.00005650158,0.0002532804,0.0001254961,0.00005577134,0.0000650549,5.736328e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006345618,"about_ca_system_score_gemma":0.00003297493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01926865,"about_ca_topic_score_gemma":0.0190885,"domain_scores_codex":[0.9991534,0.0001257606,0.0001238804,0.0001813149,0.000176737,0.0002388672],"domain_scores_gemma":[0.9995685,0.0001998419,0.00007015894,0.00006418827,0.00001739327,0.00007990989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000009198859,0.00002722068,0.2182481,0.00008043827,0.000007513353,0.000002490668,0.7785,0.00005299598,0.0008799316,0.001287073,0.00005601814,0.0008490586],"study_design_scores_gemma":[0.000248352,0.0000799771,0.5963177,0.00006538443,0.00002335632,9.347645e-7,0.3963243,0.003570935,0.00006619391,0.002535386,0.0006022955,0.0001652133],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970129,0.0005247316,0.00004164503,0.001912923,0.0000507781,0.0001752042,0.00008490488,0.00002042053,0.0001764876],"genre_scores_gemma":[0.9952109,0.004144785,0.00007083506,0.00002817787,0.00008119121,0.00001199317,0.00008282418,0.000007208284,0.0003620321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3821757,"threshold_uncertainty_score":0.9988106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07762624529284572,"score_gpt":0.2950383659191376,"score_spread":0.2174121206262919,"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."}}