{"id":"W2117306394","doi":"10.1007/s10551-011-0778-0","title":"Institutional Antecedents of Partnering for Social Change: How Institutional Logics Shape Cross-Sector Social Partnerships","year":2010,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":197,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Corporate governance; Business ethics; Public relations; Coherence (philosophical gambling strategy); Sociology; Directive; Field (mathematics); Organizational field; Positive economics; Institutional theory; Political science; Economics; Management; Social science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00641743,0.0001495877,0.0002539646,0.001388777,0.00392608,0.009336394,0.001162007,0.002717869,0.02443114],"category_scores_gemma":[0.02905292,0.0003093103,0.0003010692,0.001204503,0.008608598,0.005206759,0.005601212,0.002119928,0.0007743436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004670023,"about_ca_system_score_gemma":0.006365588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00640607,"about_ca_topic_score_gemma":0.01209916,"domain_scores_codex":[0.9930938,0.003944136,0.0002591738,0.0005112696,0.0005162409,0.001675281],"domain_scores_gemma":[0.9545133,0.02282131,0.007654449,0.002682453,0.002299558,0.01002904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007492091,0.00300074,0.377355,0.0001419643,0.0001536297,0.001370995,0.03207828,0.003785876,0.001542305,0.5398377,0.002699455,0.03728492],"study_design_scores_gemma":[0.0002567002,0.0004256633,0.3439232,0.0002230714,0.0001537351,0.0004670795,0.1513177,0.008354352,0.001346349,0.4726394,0.02078301,0.0001097164],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907052,0.0001698265,0.003187235,0.006960553,0.0000238906,0.00008803151,0.0001015741,0.00002456102,0.08239219],"genre_scores_gemma":[0.9994554,0.00001503103,0.0001074787,0.00005517747,0.000002329801,0.00000847209,0.000008776626,0.000002860554,0.000344449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443114,"threshold_uncertainty_score":0.08173031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5487355713840512,"score_gpt":0.3807877559048471,"score_spread":0.167947815479204,"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."}}