{"id":"W4406057520","doi":"10.5206/ijoh.2023.3.16835","title":"Fostering Community Resilience and Social Inclusion in the Face of Anti-Homeless NIMBYism","year":2025,"lang":"en","type":"article","venue":"International Journal on Homelessness","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Resilience (materials science); Inclusion (mineral); Face (sociological concept); Community resilience; Sociology; Psychology; Gender studies; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002468174,0.0001558381,0.0005299146,0.0003697244,0.001861501,0.00006367353,0.001218003,0.0001755322,0.00002749982],"category_scores_gemma":[0.0001605632,0.0001139763,0.00007395625,0.0003202989,0.0001553118,0.0002037395,0.002394447,0.001542753,0.000004077035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918006,"about_ca_system_score_gemma":0.0001641603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007278317,"about_ca_topic_score_gemma":0.002480649,"domain_scores_codex":[0.9966514,0.001557073,0.000687916,0.0001429692,0.000677034,0.0002836031],"domain_scores_gemma":[0.9979378,0.001098543,0.0003749922,0.0001628431,0.0003903411,0.00003549419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005010638,0.0006918218,0.1812591,0.0004105839,0.0001216861,0.00008711706,0.5569744,0.0001323853,0.002195247,0.04597175,0.00004632887,0.2116086],"study_design_scores_gemma":[0.001980971,0.00006684499,0.4866264,0.001138912,0.00001488256,0.000002046572,0.4880245,0.00009725321,0.000355889,0.02056082,0.0009508274,0.0001806098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924471,0.0002130361,0.0003620554,0.002269253,0.001119966,0.0002288571,0.00001946956,0.00001488832,0.003325335],"genre_scores_gemma":[0.9988927,0.0003288065,0.00001358415,0.0004591274,0.000206182,0.00002237605,0.000006489532,0.00001126128,0.00005950979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3053674,"threshold_uncertainty_score":0.9994379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06769252103689319,"score_gpt":0.4442831948231634,"score_spread":0.3765906737862702,"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."}}