{"id":"W2626881389","doi":"","title":"Beyond Film Impact Assessment: Being Caribou Community Screenings as Activist Training Grounds","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Storytelling; Training (meteorology); Arctic; Narrative; Community organizing; Political science; The arctic; Community engagement; Sociology; Public relations; Geography; Oceanography","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01166351,0.0004032128,0.0008664436,0.0005166546,0.01441981,0.009896645,0.009788338,0.0001973705,0.006069884],"category_scores_gemma":[0.00151401,0.0004019446,0.0003537005,0.0005842043,0.000645221,0.00575562,0.002842611,0.002759645,0.0000147319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612162,"about_ca_system_score_gemma":0.0007211554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2625825,"about_ca_topic_score_gemma":0.01132806,"domain_scores_codex":[0.9930842,0.003739725,0.0006801966,0.0003395694,0.001354475,0.0008018342],"domain_scores_gemma":[0.9943146,0.001517606,0.001660584,0.001526052,0.0004498289,0.0005313698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001853816,0.0006044258,0.8272129,0.00006888063,0.000830434,0.00004859492,0.07051459,0.0002607082,0.004572745,0.003847877,0.009340818,0.08251268],"study_design_scores_gemma":[0.0006509282,0.00004303435,0.9329955,0.0004546652,0.0001315511,0.000005756071,0.03335657,0.0001025324,0.0004618481,0.01373781,0.01748561,0.0005741611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7182373,0.0005174446,0.0001354652,0.0005534835,0.0004131619,0.0002960551,0.00001907205,0.00007331598,0.2797547],"genre_scores_gemma":[0.9963533,0.001621345,0.0003404193,0.0003953331,0.0002829616,0.00002399726,0.00003436702,0.00005986432,0.0008883766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2788663,"threshold_uncertainty_score":0.9998432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4172093272559517,"score_gpt":0.630499154743136,"score_spread":0.2132898274871843,"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."}}