{"id":"W4391533649","doi":"10.1007/s43545-024-00837-5","title":"Sustainable development goals and post-pandemic resilience: lessons from a community-based social service agency","year":2024,"lang":"en","type":"article","venue":"SN Social Sciences","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Federation for the Humanities and Social Sciences","keywords":"Resilience (materials science); Agency (philosophy); Pandemic; Sustainable development; Political science; Sociology; Coronavirus disease 2019 (COVID-19); Environmental resource management; Economic growth; Public relations; Environmental planning; Business; Social science; Geography; Economics; Medicine","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":[0.006257309,0.000451704,0.0003412903,0.0009595068,0.009033989,0.009590564,0.001916131,0.004032828,0.008339823],"category_scores_gemma":[0.008921969,0.0002795857,0.0006040818,0.001514393,0.01172545,0.00717231,0.009707637,0.006198715,0.0004632863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00937583,"about_ca_system_score_gemma":0.02329286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05573324,"about_ca_topic_score_gemma":0.1242635,"domain_scores_codex":[0.9971215,0.001586264,0.00004319856,0.0001244626,0.0002154316,0.0009091677],"domain_scores_gemma":[0.99334,0.002960638,0.0002854955,0.000373797,0.0008388673,0.002201276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003721684,0.001889568,0.01983316,0.0002743112,0.00007595179,0.004616242,0.1311956,0.006643158,0.0003885282,0.6446678,0.07078829,0.1192552],"study_design_scores_gemma":[0.0001558488,0.0004005982,0.01823194,0.0006229227,0.00004786029,0.0003909077,0.4394765,0.003756074,0.0003941875,0.3265604,0.2098673,0.00009541221],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.381951,0.002473705,0.00415113,0.3367559,0.0008048959,0.0002402073,0.0001920965,0.000128426,0.2733027],"genre_scores_gemma":[0.9837112,0.001187527,0.001265428,0.00422896,0.0001109585,0.00007280792,0.0000426998,0.00003909075,0.00934136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05573324,"threshold_uncertainty_score":0.1108177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06098936131904668,"score_gpt":0.3764375918350393,"score_spread":0.3154482305159926,"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."}}