{"id":"W4312314532","doi":"10.3167/aia.2022.290202","title":"Institutional Readiness for Community– University Alliances","year":2022,"lang":"en","type":"article","venue":"Anthropology in Action","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"Preparedness; Perspective (graphical); Repatriation; Sociology; Institutional research; Public relations; Research council; Political science; Higher education; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001010584,0.00003575113,0.00006133261,0.00008004764,0.006754741,0.00000728498,0.0002486442,0.00003764821,0.0006231999],"category_scores_gemma":[0.00004586158,0.00004658563,0.00002201258,0.0002415066,0.0004238798,0.0001139278,0.00008645083,0.0004310074,0.000005322543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399854,"about_ca_system_score_gemma":0.00009740855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06783278,"about_ca_topic_score_gemma":0.05716673,"domain_scores_codex":[0.9981225,0.001535588,0.00005710626,0.00006351355,0.0000918509,0.0001294695],"domain_scores_gemma":[0.9995302,0.0002797745,0.00004176233,0.00009957398,0.00003086645,0.00001780456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005586676,0.001527732,0.0441283,0.00005291693,0.00008496983,0.00001975161,0.1384882,0.009361082,0.0002374224,0.7265763,0.006379117,0.07258556],"study_design_scores_gemma":[0.0002639647,0.00008346891,0.004313059,0.00000250626,0.000005215641,0.000001261877,0.3410905,0.000118024,0.00001574007,0.0009962234,0.6530566,0.00005346492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637145,0.0000321647,0.0008285227,0.009533089,0.001166553,0.0001729635,0.000009406655,0.00007434999,0.02446842],"genre_scores_gemma":[0.9983225,0.0001331455,0.0001205446,0.0002065696,0.00004279712,0.00001220063,0.00003689918,0.000002357509,0.001122914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.72558,"threshold_uncertainty_score":0.9945383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1346812740991423,"score_gpt":0.399102502985575,"score_spread":0.2644212288864327,"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."}}