{"id":"W4399036139","doi":"10.29173/cjnser674","title":"Social Innovation and Nonprofit Resource Provision: A Discourse Analysis","year":2024,"lang":"en","type":"article","venue":"Canadian journal of nonprofit and social economy research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Resource (disambiguation); Social innovation; Context (archaeology); Sociology; Legitimacy; Resource dependence theory; Stakeholder; Knowledge management; Terminology; Narrative; Business; Political science; Management; Public relations; Computer science; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02023105,0.0006962704,0.000747345,0.008419504,0.01080204,0.008311895,0.001920063,0.001983714,0.003356936],"category_scores_gemma":[0.02636305,0.0003165763,0.0003650476,0.007532042,0.01492396,0.009514241,0.008525318,0.002439818,0.0002570554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01025144,"about_ca_system_score_gemma":0.006817543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007149671,"about_ca_topic_score_gemma":0.006082758,"domain_scores_codex":[0.9842061,0.01257133,0.0004967083,0.0005355215,0.001434495,0.0007557004],"domain_scores_gemma":[0.9474372,0.04754446,0.001661023,0.0006648609,0.001948483,0.0007439097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001643499,0.00002034002,0.0008758123,0.0001403945,0.00000203289,0.0002648621,0.9615589,0.00005568292,0.0004809235,0.0304858,0.0003174292,0.005781392],"study_design_scores_gemma":[0.000004837218,0.00001306416,0.001030777,0.0002838538,0.00000444429,0.0001221597,0.9734298,0.0004193676,0.0005722113,0.006903479,0.01720393,0.00001213236],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148991,0.001572099,0.01649952,0.01036671,0.000167237,0.0006153571,0.0003190313,0.00004590417,0.0555151],"genre_scores_gemma":[0.9898655,0.0008503054,0.005328042,0.0003277191,0.00005622896,0.0003848216,0.0001118254,0.00003584685,0.003039758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02023105,"threshold_uncertainty_score":0.1069933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09623661219964418,"score_gpt":0.4257240211693667,"score_spread":0.3294874089697225,"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."}}