Ethics in the Production and Dissemination of Management Research: Institutional Failure or Individual Fallibility?
Bibliographic record
Abstract
Abstract Over the past 50 years, we have witnessed considerable growth in business education, increased competition among business schools, and higher expectations for faculty scholarship. Increasing competition among scholars for limited publication opportunities in top‐tier journals and the proliferation of bottom‐tier journals has given rise to a variety of systemic ethical issues and dilemmas, for scholars and their institutions. In this article, we critically examine the current state of normative publishing activities and expectations, including doctoral education, promotion and tenure processes and research expectations, editorial and peer review processes, academic freedom, acceptable breadth, depth, and accuracy or legitimacy of research designs and methodologies, academic integrity, replication, and data availability concerning the trends and implications of contemporary and future management scholarship. We also provide recommendations for additional research and discussion on these issues.
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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 | 0.440 | 0.506 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.088 |
| Scholarly communication | 0.028 | 0.020 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".