{"id":"W4413682649","doi":"10.1016/j.pdisas.2025.100461","title":"Adversity and resilience-building in the Canadian entrepreneurial ecosystem: Using disaster, emergency management and social work to understand entrepreneurs' experiences","year":2025,"lang":"en","type":"article","venue":"Progress in Disaster Science","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Laurentian University","funders":"","keywords":"Resilience (materials science); Work (physics); Emergency management; Business; Environmental resource management; Public relations; Sociology; Political science; Economic growth; Engineering; Environmental science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002394358,0.0004773558,0.000383582,0.002897785,0.02208431,0.005423921,0.001337102,0.0007494968,0.00226061],"category_scores_gemma":[0.004272612,0.0003380871,0.0003175267,0.003670766,0.01063722,0.001946608,0.006128662,0.001790725,0.0001068273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07953451,"about_ca_system_score_gemma":0.09494761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804083,"about_ca_topic_score_gemma":0.9928547,"domain_scores_codex":[0.9984576,0.0004466547,0.0000307476,0.0001077206,0.0002654255,0.0006919526],"domain_scores_gemma":[0.9978224,0.0006988255,0.000269837,0.0000705632,0.0003272519,0.0008112148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005493545,0.00006106241,0.04677534,0.00008604614,0.000009851132,0.001030282,0.9236284,0.0003442003,0.0002265391,0.009663299,0.002444439,0.01567566],"study_design_scores_gemma":[0.000003351901,0.00001430065,0.03134847,0.00009316934,0.000006979009,0.00008986957,0.9507521,0.0002271172,0.00006283433,0.001038067,0.01633658,0.00002708098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775407,0.000673603,0.0004935715,0.003213513,0.00003591126,0.00006904637,0.0001493212,0.000007574561,0.01781685],"genre_scores_gemma":[0.996675,0.0007800332,0.0003464333,0.0001776474,0.000005015781,0.00002246267,0.0000486757,0.000005535717,0.001939214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07953451,"threshold_uncertainty_score":0.5770659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192777346113327,"score_gpt":0.28849692002894,"score_spread":0.2465691465678067,"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."}}