{"id":"W3085810442","doi":"","title":"Navigating Loss and Damage: Making space for ecological grief in the climate adaptation planning process","year":2020,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Grief; Climate change adaptation; Process (computing); Space (punctuation); Environmental resource management; Geography; Climate change; Ecology; Psychology; Environmental planning; Environmental ethics; Environmental science; Computer science; Psychotherapist; Biology; Philosophy; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008663195,0.000395591,0.0002488256,0.001359939,0.01201779,0.01225862,0.001140723,0.0022576,0.004151918],"category_scores_gemma":[0.01404496,0.000329957,0.0003686501,0.001048689,0.01828203,0.00846536,0.009241326,0.004836301,0.0004735574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005961673,"about_ca_system_score_gemma":0.009479245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009406998,"about_ca_topic_score_gemma":0.0208672,"domain_scores_codex":[0.9936683,0.004762439,0.00009957047,0.0002243258,0.0005583036,0.0006870402],"domain_scores_gemma":[0.9912791,0.005595544,0.0007763023,0.0003050632,0.0006098353,0.001434139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003941797,0.0001066002,0.006867561,0.0001375195,0.0000119389,0.001014509,0.8749664,0.0006665874,0.0006767818,0.06303792,0.003894525,0.04858017],"study_design_scores_gemma":[0.000006845197,0.00004885988,0.004608917,0.0002984391,0.000009805171,0.0003401985,0.9182922,0.001013943,0.0003565351,0.03241984,0.04257545,0.00002885051],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6099447,0.00226726,0.06682561,0.06828091,0.0003749497,0.0003299706,0.00007119966,0.0001853082,0.25172],"genre_scores_gemma":[0.9850355,0.0008704172,0.008445888,0.0008756475,0.00002191515,0.00005678071,0.00001929723,0.00002491833,0.004649622],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.990593,"threshold_uncertainty_score":0.04581589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08942509077111745,"score_gpt":0.3387423744978252,"score_spread":0.2493172837267078,"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."}}