{"id":"W2045742469","doi":"10.1007/s11205-009-9444-7","title":"Comparative Case Study as Social Impact Assessment: Possibilities and Limitations for Anticipating Social Change in the Far North","year":2009,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Social impact assessment; Environmental impact assessment; Strengths and weaknesses; Impact assessment; Social impact; Environmental planning; Economic impact analysis; Environmental resource management; Human geography; Pipeline (software); Regional science; Sociology; Political science; Geography; Environmental science; Engineering; Civil engineering; Social science; Psychology; Public administration; Social psychology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001844209,0.000212602,0.0003281522,0.0001670505,0.00364759,0.0002223606,0.0003203246,0.0001277173,0.00009699512],"category_scores_gemma":[0.00009096581,0.0001690117,0.0001176583,0.0009894562,0.0008410738,0.0004474953,0.0001810473,0.0006299602,0.00001702004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007078989,"about_ca_system_score_gemma":0.00007113974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007480359,"about_ca_topic_score_gemma":0.008226039,"domain_scores_codex":[0.9964401,0.001079758,0.0003219678,0.0003903667,0.001002206,0.0007656593],"domain_scores_gemma":[0.99897,0.0006680485,0.0001287807,0.0001038133,0.00001909194,0.000110286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003606987,0.001191914,0.410698,0.00000600477,0.00004191438,0.00006404078,0.5684607,0.000001177549,0.00007248569,0.0003869946,0.0003931331,0.01864761],"study_design_scores_gemma":[0.0005871209,0.0006953861,0.791526,0.00000176368,0.0000185035,0.000006483994,0.2057837,0.00004814496,0.00000485486,0.001113775,0.00006687533,0.0001473955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931655,0.00001480489,0.000004041851,0.001250556,0.00002529762,0.002069697,0.0000550184,0.00001778752,0.003397331],"genre_scores_gemma":[0.9988602,0.000009096117,0.00004292541,0.0002920544,0.0002974011,0.0004029706,0.00002820648,0.00001515141,0.00005203916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.380828,"threshold_uncertainty_score":0.9991289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3077114139810294,"score_gpt":0.551680314594106,"score_spread":0.2439689006130767,"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."}}