{"id":"W4409129285","doi":"10.22230/ijepl.2025v21n1a1423","title":"Networked Learning for Knowledge Mobilization: Universities and the Pursuit of Research Impact","year":2025,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Mobilization; Political science; Knowledge creation; Knowledge management; Computer science; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03576585,0.0004096922,0.0005987855,0.003552366,0.01927611,0.02833344,0.002070738,0.003650415,0.006715861],"category_scores_gemma":[0.05109295,0.0003505079,0.0004009031,0.003641202,0.04970057,0.01879606,0.02596206,0.003727498,0.0005497456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01704799,"about_ca_system_score_gemma":0.04520075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01606535,"about_ca_topic_score_gemma":0.0221408,"domain_scores_codex":[0.9597912,0.03080052,0.0006890575,0.001422011,0.003650997,0.003646166],"domain_scores_gemma":[0.9190294,0.0580512,0.004250073,0.004252984,0.003356938,0.01105944],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008862143,0.0001350645,0.00798055,0.0004671981,0.00003231702,0.0005952436,0.2275413,0.0007661171,0.0005346559,0.619946,0.004328913,0.137584],"study_design_scores_gemma":[0.00004681593,0.0001129373,0.004895569,0.001553528,0.00002753435,0.0003349803,0.32633,0.001358725,0.000711403,0.4662711,0.1982756,0.00008182499],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2382607,0.01183855,0.02342854,0.1178636,0.000621177,0.00024512,0.00004528365,0.0001363375,0.6075606],"genre_scores_gemma":[0.9904366,0.001746183,0.00254026,0.001277445,0.00009275991,0.00006862097,0.000007729575,0.00002110928,0.003809254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9716666,"threshold_uncertainty_score":0.1891502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2049370322797572,"score_gpt":0.5022818052994419,"score_spread":0.2973447730196846,"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."}}