Bibliographic record
Abstract
Citation (2014), "List of Contributors", Accountability and Social Accounting for Social and Non-Profit Organizations (Advances in Public Interest Accounting, Vol. 17), Emerald Group Publishing Limited, Bingley, pp. vii-ix. https://doi.org/10.1108/S1041-706020140000017026 Publisher: Emerald Group Publishing Limited Copyright © 2014 Emerald Group Publishing Limited Michele Andreaus Department of Economics and Management, Trento University, Trento, Italy Louis Beaubien Rowe School of Business, Dalhousie University, Halifax, Nova Scotia, Canada Carlo Borzaga Department of Economics and Management, Trento University, Trento, Italy; European Research Institute of Co-operative and Social Enterprises (Euricse), Trento, Italy Giovanni Bronzetti Department of Business Administration and Law, University of Calabria, Calabria, Italy Anna Ciepielewska-Kowalik Institute of Political Studies, Polish Academy of Sciences, Warsaw, Poland Massimo Contrafatto Department of Management, Economics and Quantitative Methods, University of Bergamo, Bergamo, Italy Ericka Costa Department of Economics and Management, Trento University, Trento, Italy; European Research Institute on Cooperative and Social Enterprises (Euricse), Trento, Italy Jacques Defourny Centre for Social Economy, HEC Management School, University of Liege, Sart Tilman, Liège, Belgium Bernard Enjolras Center for Research on Civil Society and Voluntary Sector, Institute for Social Research, Oslo, Sweden Adalbert Evers Justus-Liebig Universität, Giessen, Germany Laurent Fraisse CRIDA, Paris, France Giulia Galera European Research Institute of Co-operative and Social Enterprises (Euricse), Trento, Italy Jean-Louis Laville CNAM-CNRS, Paris, France Ewa Leś Institute of Social Policy, Warsaw University, Warsaw, Poland Vincent Lhuillier Université de Lorraine, Nancy, France Laurie Mook School of Community Resources and Development, Arizona State University, Phoenix, AZ, USA Lee D. Parker School of Accounting, RMIT University, Melbourne, Australia; School of Management, Royal Holloway College, University of London, UK Pekka Pättiniemi KSL Civic Association for Adult Learning, Helsinki, Finland Victor Pestoff Institute for Civil Society Studies, Ersta Skondal University College, Stockholm, Sweden; Graduate School of Human Sciences, Osaka University Fernando Polo-Garrido Centro de Investigación en Gestión de Empresas/Centre for Research in Business Management (CEGEA), Universitat Politècnica de València, Valencia, Spain Daphne Rixon Center of Excellence in Accounting and Reporting for Co-operatives, Sobey School of Business, Saint Mary’s University, Halifax, Nova Scotia, Canada Karl Henrik Sivesind Institute for Social Research, Oslo, Norway Roger Spear Department of Engineering and Innovation, The Open University, Milton Keynes, UK Yohanan Stryjan School of Social Sciences, Södertörns Högskola, Huddinge, Sweden Johan Vamstad Institute for Civil Society Studies, Ersta Skondal University College, Stockholm, Sweden Stefania Veltri Department of Business Administration and Law, University of Calabria, Calabria, Italy Flaviano Zandonai Euricse, Trento, Italy Book Chapters Accountability and Social Accounting for Social and Non-Profit Organizations Advances in Public Interest Accounting Accountability and Social Accounting for Social and Non-Profit Organizations Copyright Page List of Contributors Foreword Part I: Introduction The Rise of Social and Non-Profit Organizations and their Relevance for Social Accounting Studies Part II: The Non-Profit Sector Towards a European Conceptualization of the Third Sector New Trends in the Nonprofit Sector in Europe: The Emergence of Social Enterprises Part III: Accounting and Accountabilities for the Non-Profit Sector Intentions, Observations, and Decisions: Metrics in Insurance Co-Operatives The Effects of the Accounting Reclassification of Members’ Shares in Cooperatives: An Approach Part IV: Social Accounting for the Non-Profit Sector Toward an Integrated Accountability Model for Nonprofit Organizations Stewardship Theory: Approaches and Perspectives An Integrated Social Accounting Model for Nonprofit Organizations Voluntary Disclosure in a Regulated Context: The Case of Italian Social Enterprises Intellectual Capital Reporting in the Italian Nonprofit Sector. An Image-Building or an Accountability Tool? About the Authors List of Referees About the Editors
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.722 | 0.732 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".