Bibliographic record
Abstract
Citation (2016), "List of Contributors", Contesting Institutional Hegemony in Today’s Business Schools (Critical Management Studies), Emerald Group Publishing Limited, Bingley, p. vii. https://doi.org/10.1108/978-1-78635-342-920161019 Publisher: Emerald Group Publishing Limited Copyright © 2016 Emerald Group Publishing Limited Kristene E. Coller University of Lethbridge, Calgary, Canada Nadia deGama Anglia Ruskin University, Cambridge, UK Rhonda Dever Northern Alberta Institute of Technology, Edmonton, Canada Gabrielle Durepos Mount Saint Vincent University, Halifax, Canada Hadar Elraz Cardiff Business School, Cardiff, UK Craig L. Engstrom Southern Illinois University Carbondale, Carbondale, IL, USA Rebecca Gill Massey University, Auckland, New Zealand Golnaz Golnaraghi Sheridan College, Mississauga, Canada Ryan MacNeil Acadia University, Wolfville, Canada Ajnesh Prasad Tecnologico de Monterrey, Mexico City, Mexico Paulina Segarra Tecnologico de Monterrey, Mexico City, Mexico Celeste C. Wells Boston College, Boston, MA, USA Book Chapters Contesting Institutional Hegemony in Today’s Business Schools Doctoral Students Speak Out Critical Management Studies Contesting Institutional Hegemony in Today’s Business Schools Doctoral Students Speak Out Copyright Page List of Contributors Acknowledgments Introduction Section I: Negotiating Professional and Personal Lives Okay, Really … What is a Good Life? Triple Role Conflict: The Teacher, the Student, the Parent Early Career Reflections on Discursive Pressures in Business Schools Let’s Get Intimate: On How to Ethically Date Faculty and Colleagues Section II: Institutional Pressures and its Implications Playing the Game and Trying Not to Lose Myself: A Doctoral Student’s Perspective on the Institutional Pressures for Research Output Quantity versus Quality: The Publication Quagmire Being a Productive PhD Student (While Cursing Scientific Management, the “Spirit of Capitalism,” and My Addiction to Realism) The Language of an Imposter Section III: Managing the Day-to-Day The Power of Self-Compassion in the Doctoral Journey Stuck in an In-Between State: Exploring the PhD Student Experience through Ambivalence (Re)producing “The Life of the Mind”: Notemaking and the Academic Professional Studying Sensitive Issues on Mental Health at Work: The Researcher Lens Conclusion
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.722 | 0.735 |
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".