{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007269421,0.0001857454,0.0001632177,0.0004161367,0.002785144,0.001560612,0.000405738,0.0003472303,0.002945234],"category_scores_gemma":[0.001522427,0.0001460978,0.0001534896,0.0005040343,0.002469386,0.000945746,0.001985869,0.0006559601,0.0002034689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006993,"about_ca_system_score_gemma":0.0009367035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02402567,"about_ca_topic_score_gemma":0.05812999,"domain_scores_codex":[0.9994709,0.0002542797,0.00001559351,0.00004301089,0.00003817989,0.0001781328],"domain_scores_gemma":[0.9992877,0.0001910502,0.0002009309,0.00003427844,0.00008624425,0.0001998612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00011516,0.0001323685,0.2444464,0.0000647553,0.00002026802,0.0005767288,0.7408842,0.00006911591,0.0009361455,0.0009205683,0.0007550945,0.01107909],"study_design_scores_gemma":[0.000001939675,0.0000474892,0.1227453,0.00002594317,0.000004466483,0.00008592635,0.8752473,0.00005521146,0.00009091579,0.0001637618,0.001524503,0.000007333864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990557,0.00003722685,0.00002344045,0.0001831767,0.000002102698,0.000002319489,0.00001172572,5.467428e-7,0.000683729],"genre_scores_gemma":[0.9996521,0.00004072897,0.00001325541,0.00003325241,0.000001072522,0.000003923175,0.000008751103,7.872674e-7,0.0002460961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402567,"threshold_uncertainty_score":0.04777169,"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."}}