{"id":"W2482636312","doi":"10.4018/978-1-4666-8265-8.ch003","title":"From Logos to Eros and Back Again","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in higher education and professional development book series","topic":"Adult and Continuing Education Topics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Logos Bible Software; Tacit knowledge; Articulation (sociology); Context (archaeology); Epistemology; Centrality; Foundation (evidence); Sociology; Knowledge management; Computer science; Political science; Geography; Philosophy; Archaeology; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002047705,0.000207912,0.0002228742,0.0001124912,0.0002410095,0.00005659101,0.0001335206,0.0002132114,0.003404874],"category_scores_gemma":[0.00003181098,0.0001995322,0.00001460252,0.00004467993,0.0001808739,0.0006289094,0.00008250982,0.0001916075,0.000145442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001610171,"about_ca_system_score_gemma":0.001495046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006218619,"about_ca_topic_score_gemma":0.0007467805,"domain_scores_codex":[0.9988056,0.00004988056,0.000301406,0.0003586173,0.0003034008,0.0001811047],"domain_scores_gemma":[0.9992769,0.00009273479,0.0001432194,0.000111261,0.0001707456,0.0002051231],"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":[0.00007816312,0.00009189318,0.003473158,0.00009198886,0.00002444757,0.000001347782,0.07271123,5.060633e-7,0.000002869184,0.6265354,0.0937391,0.2032499],"study_design_scores_gemma":[0.00009427605,0.00001026546,0.004215754,0.0004846206,0.000004852103,2.87172e-7,0.002301052,2.007267e-8,0.000003967565,0.05428126,0.9383413,0.000262336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001584683,0.03524698,0.000003829576,0.01853603,0.009322446,0.0007202273,0.00001486338,0.00004859063,0.9345223],"genre_scores_gemma":[0.0009462194,0.003885779,0.003087683,0.001755936,0.0007250339,0.00009447182,0.0001020418,0.00001949899,0.9893833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8446022,"threshold_uncertainty_score":0.9975061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03937093727618884,"score_gpt":0.3518745656901434,"score_spread":0.3125036284139546,"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."}}